Jyotishman Pathak

发表

Business-Activity Driven Search: Addressing the Information Needs of Services Professionals

Nithya Rajamani, Murthy V. Devarakonda, Yu Deng, 2007, IEEE International Conference on Services Computing (SCC 2007).

Clinical phenotyping in selected national networks: demonstrating the need for high-throughput, portable, and computational methods

Jimeng Sun, Joshua C. Denny, Jyotishman Pathak, 2016, Artif. Intell. Medicine.

A case study evaluating the portability of an executable computable phenotype algorithm across multiple institutions and electronic health record environments

Joshua C. Denny, Jyotishman Pathak, Abel N. Kho, 2018, J. Am. Medical Informatics Assoc..

A Standards-based Semantic Metadata Repository to Support EHR-driven Phenotype Authoring and Execution

Christopher G. Chute, Joshua C. Denny, Jyotishman Pathak, 2015, MedInfo.

An electronic health record driven algorithm to identify incident antidepressant medication users

Jennifer St Sauver, Jyotishman Pathak, William V. Bobo, 2014, Journal of the American Medical Informatics Association : JAMIA.

Minimum information required for a DMET experiment reporting.

Jyotishman Pathak, Panu Somervuo, Judit Kumuthini, 2016, Pharmacogenomics.

Disambiguation of PharmGKB drug-disease relations with NDF-RT and SPL

Christopher G. Chute, Jyotishman Pathak, Qian Zhu, 2013, J. Biomed. Informatics.

MoSCoE: A Framework for Modeling Web Service Composition and Execution

Vasant Honavar, Samik Basu, Jyotishman Pathak, 2006, 22nd International Conference on Data Engineering Workshops (ICDEW'06).

A Clinical Decision Support System for Preventing Adverse Reactions to Blood Transfusion

Jyotishman Pathak, Dennis Murphree, Leanne Clifford, 2015, 2015 International Conference on Healthcare Informatics.

Predicting Adverse Reactions to Blood Transfusion

Jyotishman Pathak, Dennis Murphree, Leanne Clifford, 2015, 2015 International Conference on Healthcare Informatics.

Comparing and Evaluating Terminology Services APIs: RxNav, UMLSKS, and LexBIG

Olivier Bodenreider, Christopher G. Chute, Jyotishman Pathak, 2009 .

Learn-ing Classi ers from Semantically Heterogeneous Data Sources

Vasant Honavar, Doina Caragea, Jyotishman Pathak, 2004 .

An NLP Extension to the Quality Data Model for EHR-Driven Phenotype Algorithm Authoring and Execution

Joshua C. Denny, Jyotishman Pathak, Guoqian Jiang, 2016, AMIA.

A Semantic-Web Oriented Representation of Clinical Element Model for Secondary Use of Electronic Healthcare Data

Cui Tao, Stanley M. Huff, Christopher G. Chute, 2012, 2012 IEEE Second International Conference on Healthcare Informatics, Imaging and Systems Biology.

Integrating VA's NDF-RT Drug Terminology with PharmGKB: Preliminary Results

Christopher G. Chute, Jyotishman Pathak, Qian Zhu, 2012, Pacific Symposium on Biocomputing.

Question Answering for Suicide Risk Assessment Using Reddit

Amit P. Sheth, Krishnaprasad Thirunarayan, Ugur Kursuncu, 2019, 2019 IEEE 13th International Conference on Semantic Computing (ICSC).

Toward semantic web based knowledge representation and extraction from electronic health records

Cui Tao, Stanley M. Huff, Christopher G. Chute, 2011, MIXHS '11.

Modeling Web Services by Iterative Reformulation of Functional and Non-functional Requirements

Vasant Honavar, Samik Basu, Jyotishman Pathak, 2006, ICSOC.

Importance of multi-modal approaches to effectively identify cataract cases from electronic health records

Lin Chen, Joshua C. Denny, Jyotishman Pathak, 2012, J. Am. Medical Informatics Assoc..

Applying linked data principles to represent patient's electronic health records at Mayo clinic: a case report

Christopher G. Chute, Jyotishman Pathak, Richard C. Kiefer, 2012, IHI '12.

Qualitative evaluation of three phenotype information models to find methotrexate liver injury

Jie Xu, Joshua C. Denny, Jyotishman Pathak, 2014, American Medical Informatics Association Annual Symposium.

Predicting Prolonged Stay in the ICU Attributable to Bleeding in Patients Offered Plasma Transfusion

Jyotishman Pathak, Rickey E. Carter, Dennis Murphree, 2016, AMIA.

The Phenotype Execution and Modeling Architecture: A Roadmap Towards Next-generation Phenotyping Using EHRs

Joshua C. Denny, Jyotishman Pathak, William Thompson, 2017, AMIA.

Formalizing ICD coding rules using Formal Concept Analysis

Christopher G. Chute, Jyotishman Pathak, Guoqian Jiang, 2009, J. Biomed. Informatics.

Polyadic Regression and its Application to Chemogenomics

Ping Zhang, Fei Wang, Jimeng Sun, 2017, SDM.

Assembling Composite Web Services from Autonomous Components

Vasant Honavar, Samik Basu, Jyotishman Pathak, 2007, Emerging Artificial Intelligence Applications in Computer Engineering.

Condition Data Aggregation with Application to Failure Rate Calculation of Power Transformers

Vasant Honavar, Yong Jiang, James D. McCalley, 2006, Proceedings of the 39th Annual Hawaii International Conference on System Sciences (HICSS'06).

A framework for semantic web services discovery

Vasant Honavar, Doina Caragea, Jyotishman Pathak, 2005, WIDM '05.

Developing a portable natural language processing based phenotyping system

Himanshu Sharma, Yizhen Zhang, Yuan Luo, 2018, BMC Medical Informatics and Decision Making.

A Framework for Data Quality Assessment in Clinical Research Datasets

Jyotishman Pathak, Nicole Gray Weiskopf, Kathleen Lee, 2017, AMIA.

Using RxNorm to Extract Medication Data from Electronic Health Records in the Rochester Epidemiology Project

Christopher G. Chute, Jyotishman Pathak, Hilal M. Kremers, 2011, International Conference on Biomedical Ontology.

A Systematic Prediction of Adverse Drug Reactions Using Pre-clinical Drug Characteristics and Spontaneous Reports

Jyotishman Pathak, Janusz Wojtusiak, Che Ngufor, 2015, 2015 International Conference on Healthcare Informatics.

Using standardized clinical data modeling and knowledge representation to compute pharmacogenomic data elements

Christopher G. Chute, Jyotishman Pathak, Qian Zhu, 2013, AMIA.

A Service-Oriented Architecture for Electric Power Transmission System Asset Management

Vasant Honavar, Yuan Li, James D. McCalley, 2006, ICSOC Workshops.

Phenotyping on EHR Data Using OWL and Semantic Web Technologies

Cui Tao, Hongfang Liu, Dingcheng Li, 2013, ICSH.

LexSearch: An Approach for Leveraging Semantic Annotations to Searching Ontologies

Christopher G. Chute, Jyotishman Pathak, James D. Buntrock, 2008, AAAI Spring Symposium: Semantic Scientific Knowledge Integration.

A Pilot Study on Modeling of Diagnostic Criteria Using OWL and SWRL

Christopher G. Chute, Jyotishman Pathak, Guoqian Jiang, 2015, MedInfo.

A Modular Architecture for Electronic Health Record-Driven Phenotyping

Joshua C. Denny, Jyotishman Pathak, Guoqian Jiang, 2015, AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science.

Modeling and Executing Electronic Health Records Driven Phenotyping Algorithms using the NQF Quality Data Model and JBoss® Drools Engine

Sahana Murthy, Dingcheng Li, Stanley M. Huff, 2012, AMIA.

A Prototype for Executable and Portable Electronic Clinical Quality Measures Using the KNIME Analytics Platform

Joshua C. Denny, Jyotishman Pathak, William K. Thompson, 2015, AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science.

A semantic-web oriented representation of the clinical element model for secondary use of electronic health records data

Cui Tao, Stanley M. Huff, Christopher G. Chute, 2013, J. Am. Medical Informatics Assoc..

Survey of modular ontology techniques and their applications in the biomedical domain

Christopher G. Chute, Jyotishman Pathak, Thomas M. Johnson, 2009, Integr. Comput. Aided Eng..

Using PheWAS to Assess Pleiotropy of Genetic Risk Scores for Rheumatoid Arthritis and Coronary Artery Disease in the eMERGE Network

Christopher G. Chute, Lisa Bastarache, Dana C. Crawford, 2012, AMIA.

The linked clinical data project: applying semantic web technologies for clinical and translational research using electronic medical records

Christopher G. Chute, Jyotishman Pathak, Richard C. Kiefer, 2011, SWAT4LS.

An Ontological Representation of Adverse Drug Events

Christopher G. Chute, Jon D. Duke, Jyotishman Pathak, 2011, ICBO.

Association networks in a matched case-control design - Co-occurrence patterns of preexisting chronic medical conditions in patients with major depression versus their matched controls

Fei Wang, Jyotishman Pathak, Min-hyung Kim, 2018, J. Biomed. Informatics.

Improving risk prediction for depression via Elastic Net regression - Results from Korea National Health Insurance Services Data

Jyotishman Pathak, Min-hyung Kim, Samprit Banerjee, 2016, AMIA.

Mining Drug-Drug Interaction Patterns from Linked Clinical Data

Christopher G. Chute, Jyotishman Pathak, Richard C. Kiefer, 2013, AMIA.

Developing a Standards-Based Information Model for Representing Computable Diagnostic Criteria: A Feasibility Study of the NQF Quality Data Model

Christopher G. Chute, Jyotishman Pathak, Guoqian Jiang, 2015, MedInfo.

Identification of Predictive Sub-Phenotypes of Acute Kidney Injury using Structured and Unstructured Electronic Health Record Data with Memory Networks pdf

Fei Wang, Jessica S. Ancker, Yuan Luo, 2019, ArXiv.

Modeling Web service composition using symbolic transition systems

Vasant Honavar, Samik Basu, Jyotishman Pathak, 2006, AAAI 2006.

Learning Classifiers from Distributed, Ontology-Extended Data Sources

Vasant Honavar, Jun Zhang, Doina Caragea, 2006, DaWaK.

Empowering personalized medicine with big data and semantic web technology: Promises, challenges, and use cases

Jyotishman Pathak, Maryam Panahiazar, Ashutosh Jadhav, 2014, 2014 IEEE International Conference on Big Data (Big Data).

Evaluating the Portability of an NLP System for Processing Echocardiograms: A Retrospective, Multi-site Observational Study

Jessica S. Ancker, Jyotishman Pathak, Guoqian Jiang, 2019, AMIA.

Using EHRs and Machine Learning for Heart Failure Survival Analysis

Jyotishman Pathak, Maryam Panahiazar, Vahid Taslimitehrani, 2015, MedInfo.

Comparing Sex-Specific Association Networks of Chronic Medical Conditions

Fei Wang, Jyotishman Pathak, Min-hyung Kim, 2018, 2018 IEEE International Conference on Healthcare Informatics (ICHI).

MOSCOE: an Approach for Composing Web Services through Iterative Reformulation of Functional Specifications

Vasant Honavar, Samik Basu, Jyotishman Pathak, 2008, Int. J. Artif. Intell. Tools.

Letter: Further revamping VA's NDF-RT drug terminology for clinical research

Christopher G. Chute, Jyotishman Pathak, 2011, J. Am. Medical Informatics Assoc..

Clinical Decision Support to Implement CYP2D6 Drug-Gene Interaction

Pedro J. Caraballo, David Blair, Padma S. Rao, 2015, MedInfo.

Visualization and Reporting of Results for Electronic Health Records Driven Phenotyping using the Open-Source popHealth Platform

Sahana Murthy, Dingcheng Li, Christopher G. Chute, 2012, AMIA.

What Information about Cardiovascular Diseases do People Search Online?

Amit P. Sheth, Stephen T. Wu, Jyotishman Pathak, 2014, MIE.

Developing Intermediary Medication Phenotypes via Metabolomics Biotechnology Using an Electronic Health Record-Linked Biobank

Jyotishman Pathak, Liewei Wang, Richard M. Weinshilboum, 2015, AMIA.

Multi-task learning with selective cross-task transfer for predicting bleeding and other important patient outcomes

Jyotishman Pathak, Dennis Murphree, Che Ngufor, 2015, 2015 IEEE International Conference on Data Science and Advanced Analytics (DSAA).

Using Association Rule Mining for Phenotype Extraction from Electronic Health Records

Dingcheng Li, Christopher G. Chute, György J. Simon, 2013, AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science.

(Authoring) Rules, (Distributed Query) Tools, and Drools: The challenging new world of high throughput phenotyping

Joshua C. Denny, Jyotishman Pathak, Abel N. Kho, 2015, AMIA.

Interactive and verifiable web services composition, specification reformulation and substitution

Vasant Honavar, Jyotishman Pathak, Vasant G Honavar, 2007 .

Composing Web Services through Automatic Reformulation of Service Specifications

Vasant Honavar, Samik Basu, Jyotishman Pathak, 2008, 2008 IEEE International Conference on Services Computing.

Design patterns for the development of electronic health record-driven phenotype extraction algorithms

Gerard Tromp, Joshua C. Denny, Jyotishman Pathak, 2014, J. Biomed. Informatics.

Multitask LS-Svm for Predicting Bleeding and Re-operation Due to Bleeding

Jyotishman Pathak, Dennis Murphree, Che Ngufor, 2017, 2017 IEEE International Conference on Healthcare Informatics (ICHI).

Modular ontology techniques and their applications in the biomedical domain

Christopher G. Chute, Jyotishman Pathak, Thomas M. Johnson, 2008, 2008 IEEE International Conference on Information Reuse and Integration.

Mining Genotype-Phenotype Associations from Public Knowledge Sources via Semantic Web Querying

Christopher G Chute, Jyotishman Pathak, Richard C. Kiefer, 2013, AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science.

A Distributed Semantic Web Approach for Cohort Identification

Jyotishman Pathak, Richard C. Kiefer, G. Q. Zhang, 2012, AMIA.

Desiderata for computable representations of electronic health records-driven phenotype algorithms

Paul A. Harris, Gerard Tromp, Jie Xu, 2015, J. Am. Medical Informatics Assoc..

Using Linked Data for Mining Drug-Drug Interactions in Electronic Health Records

Christopher G. Chute, Jyotishman Pathak, Richard C. Kiefer, 2014, MedInfo.

Ontology-Extended Component-Based Workflows : A Framework for Constructing Complex Workflows from Semantically Heterogeneous Software Components

Vasant Honavar, Doina Caragea, Jyotishman Pathak, 2004, SWDB.

The potential value of social determinants of health in predicting health outcomes

Jessica S. Ancker, Jyotishman Pathak, Min-hyung Kim, 2018, J. Am. Medical Informatics Assoc..

Analyzing categorical information in two publicly available drug terminologies: RxNorm and NDF-RT

Christopher G. Chute, Jyotishman Pathak, C. Chute, 2010, J. Am. Medical Informatics Assoc..

The SHARPn project on secondary use of Electronic Medical Record data: progress, plans, and possibilities.

Christopher G Chute, Jyotishman Pathak, Kent R Bailey, 2011, AMIA ... Annual Symposium proceedings. AMIA Symposium.

Evaluation of Existing Phenotype Authoring Tools for Clinical Research

Jie Xu, Joshua C. Denny, Jyotishman Pathak, 2014, AMIA.

"Let Me Tell You About Your Mental Health!": Contextualized Classification of Reddit Posts to DSM-5 for Web-based Intervention

Amit P. Sheth, Krishnaprasad Thirunarayan, Ugur Kursuncu, 2018, CIKM.

PhenotypePortal: An Open-Source Library and Platform for Authoring, Executing and Visualization of Electronic Health Records Driven Phenotyping Algorithms

Dingcheng Li, Christopher G. Chute, Jyotishman Pathak, 2013, AMIA.

An Evaluation of the NQF Quality Data Model for Representing Electronic Health Record Driven Phenotyping Algorithms

Joshua C. Denny, Jyotishman Pathak, Abel N. Kho, 2012, AMIA.

Algorithms and Software for Collaborative Discovery from Autonomous, Semantically Heterogeneous, Distributed Information Sources

Vasant Honavar, Jun Zhang, Doina Caragea, 2005, ALT.

Mining Anti-coagulant Drug-Drug Interactions from Electronic Health Records Using Linked Data

Christopher G. Chute, Jyotishman Pathak, Richard C. Kiefer, 2013, DILS.

A Heterogeneous Multi-Task Learning for Predicting RBC Transfusion and Perioperative Outcomes

Jyotishman Pathak, Dennis Murphree, Che Ngufor, 2015, Conference on Artificial Intelligence in Medicine in Europe.

Scalable and High-Throughput Execution of Clinical Quality Measures from Electronic Health Records using MapReduce and the JBoss(R) Drools Engine

Jyotishman Pathak, Kevin J. Peterson, J. Pathak, 2014, AMIA.

Temporal reflected logistic regression for probabilistic heart failure survival score prediction

ChengXiang Zhai, Jyotishman Pathak, Mingjie Qian, 2017, 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Discovering Web Services over the Semantic Web

Vasant Honavar, Doina Caragea, Jyotishman Pathak, 2005 .

Debugging Mappings between Biomedical Ontologies: Preliminary Results from the NCBO BioPortal Mapping Repository

Christopher G. Chute, Jyotishman Pathak, 2009 .

Algorithms and Software for Collaborative Discovery from Autonomous, Semantically Heterogeneous, Distributed Information Sources

Vasant Honavar, Jun Zhang, Doina Caragea, 2005, Discovery Science.

Analyzing the heterogeneity and complexity of Electronic Health Record oriented phenotyping algorithms.

Christopher G Chute, Jyotishman Pathak, Joshua C Denny, 2011, AMIA ... Annual Symposium proceedings. AMIA Symposium.

Information extraction and integration from heterogeneous, distributed, autonomous information sources - a federated ontology-driven query-centric approach

Vasant Honavar, Doina Caragea, Jyotishman Pathak, 2003, Proceedings Fifth IEEE Workshop on Mobile Computing Systems and Applications.

Online Information Seeking for Cardiovascular Diseases: A Case Study from Mayo Clinic

Amit P. Sheth, Stephen T. Wu, Jyotishman Pathak, 2014, MIE.

Using EHRs to assess gender differences in the utilization of mental health services for patients diagnosed with major depression

Joseph J. DeFerio, Jyotishman Pathak, Cody M. Phelps, 2018, AMIA.

Mining the Human Phenome using Semantic Web Technologies: A Case Study for Type 2 Diabetes

Suzette J. Bielinski, Christopher G. Chute, Jyotishman Pathak, 2012, AMIA.

Portable Phenotyping System: A Portable Machine-Learning Approach to i2b2 Obesity Challenge

Himanshu Sharma, Yizhen Zhang, Yuan Luo, 2018, 2018 IEEE International Conference on Healthcare Informatics Workshop (ICHI-W).

Algorithms and software for col-laborative discovery from autonomous

Vasant Honavar, Jyotishman Pathak, Jie Bao, 2005 .

Using EHR-Linked Biobank Data to Study Metformin Pharmacogenomics

György J. Simon, Jyotishman Pathak, Euijung Ryu, 2015, MIE.

Building a robust, scalable and standards-driven infrastructure for secondary use of EHR data: The SHARPn project

Cui Tao, Peter J. Haug, Stanley M. Huff, 2012, J. Biomed. Informatics.

Requirements and Strategy for the Development of a Pediatric Drug Ontology

Jyotishman Pathak, Rachel L. Richesson, Wendy McLeod, 2012, ICBO.

Using EHRs for Heart Failure Therapy Recommendation Using Multidimensional Patient Similarity Analytics

Jyotishman Pathak, Maryam Panahiazar, Vahid Taslimitehrani, 2016, MIE.

PheKB: a catalog and workflow for creating electronic phenotype algorithms for transportability

Paul A. Harris, Gerard Tromp, Joshua C. Denny, 2016, J. Am. Medical Informatics Assoc..

LexValueSets: An Approach for Context-Driven Value Sets Extraction

Christopher G. Chute, Jyotishman Pathak, Guoqian Jiang, 2008, AMIA.

ePhenotyping for Abdominal Aortic Aneurysm in the Electronic Medical Records and Genomics (eMERGE) Network: Algorithm Development and Konstanz Information Miner Workflow

Jyotishman Pathak, Joshua C Denny, Peggy L Peissig, 2015, International journal of biomedical data mining.

Developing a data element repository to support EHR-driven phenotype algorithm authoring and execution

Jie Xu, Christopher G. Chute, Joshua C. Denny, 2016, J. Biomed. Informatics.

Fusing Visual, Textual and Connectivity Clues for Studying Mental Health pdf

Amit P. Sheth, William L. Romine, Krishnaprasad Thirunarayan, 2019, ArXiv.

Secondary Use of Patients' Electronic Records (SUPER): An Approach for Meeting Specific Data Needs of Clinical and Translational Researchers

Stephen B. Johnson, John Leonard, Jyotishman Pathak, 2017, AMIA.

Using PhenotypePortal for Checking Clinical Guideline Recommendation Compliance

Jyotishman Pathak, María Adela Grando, Kevin J. Peterson, 2014, AMIA.

A Genome- and Phenome- Wide Study of Diverticulosis

Girish N. Nadkarni, Joshua C. Denny, Jyotishman Pathak, 2015, AMIA.

Mining Genotype-Phenotype Associations from Electronic Health Records and Biorepositories using Semantic Web Technologies

Suzette J. Bielinski, Christopher G. Chute, Jyotishman Pathak, 2012, AMIA.

Ascertaining Depression Severity by Extracting Patient Health Questionnaire-9 (PHQ-9) Scores from Clinical Notes

Stephen B. Johnson, Joseph J. DeFerio, Jyotishman Pathak, 2018, AMIA.

An Analysis of Mayo Clinic Search Query Logs for Cardiovascular Diseases

Amit P. Sheth, Jyotishman Pathak, Ashutosh Jadhav, 2014, AMIA.

Integrated Decision Algorithms for Auto-steered Electric Transmission System Asset Management

Yili Hong, William Q. Meeker, Vasant Honavar, 2007, International Conference on Computational Science.

Selecting and Composing Web Services through Iterative Reformulation of Functional Specifications

Vasant Honavar, Samik Basu, Jyotishman Pathak, 2006, 2006 18th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'06).

Terminology representation guidelines for biomedical ontologies in the semantic web notations

Cui Tao, Christopher G. Chute, Jyotishman Pathak, 2013, J. Biomed. Informatics.

Mapping clinical phenotype data elements to standardized metadata repositories and controlled terminologies: the eMERGE Network experience

Christopher G. Chute, Jyotishman Pathak, Melissa A. Basford, 2011, J. Am. Medical Informatics Assoc..

Using Electronic Health Records to Identify Heart Failure Cohorts with Differentiation for Preserved and Reduced Ejection Fraction

Suzette J. Bielinski, Hongfang Liu, Sunghwan Sohn, 2012, AMIA.

Information Integration from Semantically Heterogeneous Biological Data Sources

Vasant Honavar, Doina Caragea, Jyotishman Pathak, 2005, 16th International Workshop on Database and Expert Systems Applications (DEXA'05).

Applying semantic web technologies for phenome-wide scan using an electronic health record linked Biobank

Suzette J. Bielinski, Christopher G. Chute, Jyotishman Pathak, 2012, Journal of Biomedical Semantics.

Mental Health Analysis Via Social Media Data

Amit P. Sheth, Krishnaprasad Thirunarayan, Jyotishman Pathak, 2018, 2018 IEEE International Conference on Healthcare Informatics (ICHI).

Mining drug-drug interaction patterns from linked data: A case study for Warfarin, Clopidogrel, and Simvastatin

Christopher G. Chute, Jyotishman Pathak, Richard C. Kiefer, 2013, 2013 IEEE International Conference on Bioinformatics and Biomedicine.

Implementation Brief: LexGrid: A Framework for Representing, Storing, and Querying Biomedical Terminologies from Simple to Sublime

Christopher G. Chute, Jyotishman Pathak, Harold R. Solbrig, 2009, J. Am. Medical Informatics Assoc..

LexRDF Model: An RDF-based Unified Model for Heterogeneous Biomedical Ontologies.

Christopher G Chute, Jyotishman Pathak, Harold R Solbrig, 2009, CEUR workshop proceedings.

Enhancement of Fault Ride-Through Capability during Symmetrical Fault of the DFIG Wind Turbine using Alternative Resistive-type SFCL

Jyotishman Pathak, Umesh Chaudhary, 2018 .

Normalization and standardization of electronic health records for high-throughput phenotyping: the SHARPn consortium.

Cui Tao, Christopher G Chute, Timothy Miller, 2013, Journal of the American Medical Informatics Association : JAMIA.

Translating Electronic Clinical Quality Measures to Executable, Portable, and Customizable Workflows in KNIME

Joshua C. Denny, Jyotishman Pathak, William K. Thompson, 2015, AMIA.

Validation and discovery of genotype-phenotype associations in chronic diseases using linked data.

Jyotishman Pathak, Robert Freimuth, Richard Kiefer, 2012, Studies in health technology and informatics.

Leveraging Value Sets from the Value Set Authority Center (VSAC) in a Standards-Based Clinical Data Repository

Joshua C. Denny, Jyotishman Pathak, Guoqian Jiang, 2017, AMIA.

Using semantic web technologies for quality measure phenotyping algorithm representation and automatic execution on EHR data

Yugyung Lee, Cui Tao, Hongfang Liu, 2014, IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI).

Usability of a phenotype builder prototype and lessons learned for the design of phenotyping tools

Jie Xu, Joshua C. Denny, Jyotishman Pathak, 2015, AMIA.

Learning Classifiers from Semantically Heterogeneous Data

Vasant Honavar, Doina Caragea, Jyotishman Pathak, 2004, CoopIS/DOA/ODBASE.

PhEMA: Phenotype Modeling, Sharing and Execution Architecture

Joshua C. Denny, Jyotishman Pathak, William K. Thompson, 2015, AMIA.

Using Electronic Health Records to Identify Patient Cohorts for Drug-Induced Thrombocytopenia, Neutropenia and Liver Injury

Christopher G. Chute, Joshua C. Denny, Jyotishman Pathak, 2012, AMIA.

LexOWL: A Bridge from LexGrid to OWL

Christopher G. Chute, Jyotishman Pathak, Harold R. Solbrig, 2009 .

Effects of Plasma Transfusion on Perioperative Bleeding Complications: A Machine Learning Approach

Jyotishman Pathak, Dennis Murphree, Che Ngufor, 2016, MedInfo.

Comparing and evaluating terminology services application programming interfaces: RxNav, UMLSKS and LexBIG

Olivier Bodenreider, Christopher G. Chute, Jyotishman Pathak, 2010, J. Am. Medical Informatics Assoc..

Developing EHR-driven heart failure risk prediction models using CPXR(Log) with the probabilistic loss function

Jyotishman Pathak, Guozhu Dong, Maryam Panahiazar, 2016, J. Biomed. Informatics.

Methods for Integrating EHRs, Social Determinants of Health, and Built Environment Data for Patient-Centered Research

Joseph J. DeFerio, Jyotishman Pathak, Evan Sholle, 2018, AMIA.

Information Integration and Knowledge Acquisition from Semantically Heterogeneous Biological Data Sources

Vasant Honavar, Doina Caragea, Jyotishman Pathak, 2005, DILS.

Ensemble learning approaches to predicting complications of blood transfusion

Jyotishman Pathak, Dennis Murphree, Leanne Clifford, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Adopting Graph Traversal Techniques for Context-Driven Value Sets Extraction from Biomedical Knowledge Sources

Christopher G. Chute, Jyotishman Pathak, Guoqian Jiang, 2008, 2008 IEEE International Conference on Semantic Computing.

Parallel Web Service Composition in MoSCoE: A Choreography-Based Approach

Vasant Honavar, Samik Basu, Jyotishman Pathak, 2006, 2006 European Conference on Web Services (ECOWS'06).

An OWL meta-ontology for representing the Clinical Element Model.

Christopher G Chute, Jyotishman Pathak, Cui Tao, 2011, AMIA ... Annual Symposium proceedings. AMIA Symposium.

Considerations for Improving the Portability of Electronic Health Record-Based Phenotype Algorithms

Fei Wang, Yuan Luo, Jyotishman Pathak, 2019, AMIA.

Harmonization of Quality Data Model with HL7 FHIR to Support EHR-driven Phenotype Authoring and Execution: A Pilot Study

Jie Xu, Christopher G. Chute, Joshua C. Denny, 2015, AMIA.

Simplifying Complex Clinical Element Models to Encourage Adoption

Christopher G. Chute, Jyotishman Pathak, Qian Zhu, 2014, AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science.

Review and evaluation of electronic health records-driven phenotype algorithm authoring tools for clinical and translational research

Jie Xu, Joshua C. Denny, Jyotishman Pathak, 2015, J. Am. Medical Informatics Assoc..

A Decompositional Approach to Executing Quality Data Model Algorithms on the i2b2 Platform

Joshua C. Denny, Jyotishman Pathak, William Thompson, 2016, CRI.

Leveraging informatics for genetic studies: use of the electronic medical record to enable a genome-wide association study of peripheral arterial disease

Jin Fan, Christopher G. Chute, Jyotishman Pathak, 2010, J. Am. Medical Informatics Assoc..

On Context-Specific Substitutability of Web Services

Vasant Honavar, Samik Basu, Jyotishman Pathak, 2007, IEEE International Conference on Web Services (ICWS 2007).

Analysis of Online Information Searching for Cardiovascular Diseases on a Consumer Health Information Portal

Amit P. Sheth, Jyotishman Pathak, Ashutosh Jadhav, 2014, AMIA.

Using weak supervision and deep learning to classify clinical notes for identification of current suicidal ideation.

Jyotishman Pathak, Thomas R. Campion, Annie C. Myers, 2021, Journal of psychiatric research.

The portability of natural language processing methods to detect suicidality from unstructured clinical text in US and UK electronic health records

Jyotishman Pathak, Sumithra Velupillai, Marika Cusick, 2021 .

Extracting social determinants of health from electronic health records using natural language processing: a systematic review

Braja Gopal Patra, Jiang Bian, Jyotishman Pathak, 2021, J. Am. Medical Informatics Assoc..

A Study of Social and Behavioral Determinants of Health in Lung Cancer Patients Using Transformers-based Natural Language Processing Models pdf

Jiang Bian, Jyotishman Pathak, William R. Hogan, 2021, AMIA.

Characterization of time-variant and time-invariant assessment of suicidality on Reddit using C-SSRS

Krishnaprasad Thirunarayan, Ugur Kursuncu, Jyotishman Pathak, 2021, PloS one.

Multimodal mental health analysis in social media

William L. Romine, Krishnaprasad Thirunarayan, Pascal Hitzler, 2020, PloS one.

Quantifying the importance of disease burden on perceived general health and depressive symptoms in patients within the Mayo Clinic Biobank

Suzette J. Bielinski, Jyotishman Pathak, Euijung Ryu, 2015, Health and Quality of Life Outcomes.

Preemptive genotyping for personalized medicine: design of the right drug, right dose, right time-using genomic data to individualize treatment protocol.

Christopher G Chute, Eric D Wieben, Jyotishman Pathak, 2014, Mayo Clinic proceedings.

Using Clinical Element Models for Pharmacogenomic Study Data Standardization

Christopher G Chute, Jyotishman Pathak, Qian Zhu, 2013, AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science.

Predictive Modeling of the Risk of Acute Kidney Injury in Critical Care: A Systematic Investigation of The Class Imbalance Problem.

Anand Srivastava, Fei Wang, Jyotishman Pathak, 2019, AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science.

Should We Compare Web and Grid Services ?

Jyotishman Pathak, 2005 .

Bias in Recording of Body Mass Index Data in the Electronic Health Record

Peter J. Haug, Jyotishman Pathak, Susan Rea, 2013, AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science.

Data‐driven discovery of probable Alzheimer's disease and related dementia subphenotypes using electronic health records

Pascal Brandt, Fei Wang, Yuan Luo, 2020, Learning health systems.

A Framework for Dynamic Resource Management on the Grid

Jyotishman Pathak, Philip L. Vitale, Raj Kumar, 2005 .

The phenotypic legacy of admixture between modern humans and Neandertals

Gerard Tromp, Marylyn D. Ritchie, Joshua C. Denny, 2016, Science.

Characterizing the Epidemiology of Perioperative Transfusion-associated Circulatory Overload

Jyotishman Pathak, Leanne Clifford, Arun Subramanian, 2015, Anesthesiology.

Genetic Variants Associated with Serum Thyroid Stimulating Hormone (TSH) Levels in European Americans and African Americans from the eMERGE Network

Suzette J. Bielinski, Christopher G. Chute, Marylyn D. Ritchie, 2014, PloS one.

Design and Anticipated Outcomes of the eMERGE-PGx Project: A Multi-Center Pilot for Pre-Emptive Pharmacogenomics in Electronic Health Record Systems

Suzette J. Bielinski, Christopher G. Chute, Marylyn D. Ritchie, 2014, Clinical pharmacology and therapeutics.

A collaborative approach to developing an electronic health record phenotyping algorithm for drug-induced liver injury.

George Hripcsak, Carol Friedman, Yufeng Shen, 2013, Journal of the American Medical Informatics Association : JAMIA.

Subphenotyping depression using machine learning and electronic health records

Pascal Brandt, Fei Wang, Yuan Luo, 2020, Learning health systems.

Evaluating Phenotypic Data Elements for Genetics and Epidemiological Research: Experiences from the eMERGE and PhenX Network Projects

Christopher G. Chute, Jyotishman Pathak, Daniel R. Masys, 2011, AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science.

Understanding the research landscape of major depressive disorder via literature mining: an entity-level analysis of PubMed data from 1948 to 2017

Joseph J. DeFerio, Jyotishman Pathak, Yongjun Zhu, 2018, JAMIA open.

Incorporating expert terminology and disease risk factors into consumer health vocabularies.

Christopher G Chute, Jyotishman Pathak, Kevin J Peterson, 2012, Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing.

Electronic Health Record Phenotypes for Precision Medicine: Perspectives and Caveats From Treatment of Breast Cancer at a Single Institution

Jyotishman Pathak, Rui Zhang, Hongfang Liu, 2018, Clinical and translational science.

Genome-and Phenome-Wide Analysis of Cardiac Conduction Identifies Markers of Arrhythmia Risk Running title : Ritchie et al . ; QRS GWAS and PheWAS in electronic records

Christopher G. Chute, Marylyn D. Ritchie, Joshua C. Denny, 2013 .

Use of computerized algorithm to identify individuals in need of testing for celiac disease.

Jyotishman Pathak, Euijung Ryu, Matthew J. Durski, 2013, Journal of the American Medical Informatics Association : JAMIA.

Polyadic Regression and its Application to Chemogenomics-Supplementary Material Ioakeim Perros

Fei Wang, Jimeng Sun, Ping Zhang, 2017 .

Some experiences and opportunities for big data in translational research

Christopher G. Chute, Jyotishman Pathak, Grant M. Wood, 2013, Genetics in Medicine.

Evaluating the Process of Online Health Information Searching: A Qualitative Approach to Exploring Consumer Perspectives

Jyotishman Pathak, Cristian Cocos, Ashok Kumbamu, 2014, Journal of medical Internet research.

Practical considerations in genomic decision support: The eMERGE experience

Keith Marsolo, Suzette J. Bielinski, Gerard Tromp, 2015, Journal of pathology informatics.

Quantifying the impact of chronic conditions on a diagnosis of major depressive disorder in adults: a cohort study using linked electronic medical records

Jyotishman Pathak, Euijung Ryu, William V. Bobo, 2016, BMC Psychiatry.

Hospitalizations and emergency department use in Mayo Clinic Biobank participants within the employee and community health medical home.

Jyotishman Pathak, Euijung Ryu, Janet E Olson, 2013, Mayo Clinic proceedings.

PharmGKB Drug Data Normalization with NDF-RT

Christopher G Chute, Jyotishman Pathak, Qian Zhu, 2013, AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science.

A conceptual model for translating omic data into clinical action

Suzette J. Bielinski, Gerard Tromp, Christopher G. Chute, 2015, Journal of pathology informatics.

For Personal Use. Mass Reproduce Only with Permission from Mayo Clinic Proceedings a . Original Article Mayo Genome Consortia: a Genotype-phenotype Resource for Genome-wide Association Studies with an Application to the Analysis of Circulating Bilirubin Levels

Christopher G Chute, Jyotishman Pathak, Hugues Sicotte, 2022 .

Use of standard drug vocabularies in clinical research: a case study in pediatrics.

Jyotishman Pathak, Rachel L Richesson, 2010, AMIA ... Annual Symposium proceedings. AMIA Symposium.

The Role of Next-Generation Sequencing in Precision Medicine: A Review of Outcomes in Oncology

Jyotishman Pathak, Olivier Elemento, Himisha Beltran, 2018, Journal of personalized medicine.

Online Information Searching for Cardiovascular Diseases: An Analysis of Mayo Clinic Search Query Logs

Amit P. Sheth, Jyotishman Pathak, A. Sheth, 2014 .

Using RxNorm and NDF-RT to classify medication data extracted from electronic health records: experiences from the Rochester Epidemiology Project.

Christopher G Chute, Jyotishman Pathak, Sean P. Murphy, 2011, AMIA ... Annual Symposium proceedings. AMIA Symposium.

Phenome-wide association studies demonstrating pleiotropy of genetic variants within FTO with and without adjustment for body mass index

Suzette J. Bielinski, Gerard Tromp, Christopher G. Chute, 2014, Front. Genet..

Using Semantic Web Technologies for Cohort Identification from Electronic Health Records for Clinical Research

Christopher G. Chute, Jyotishman Pathak, Richard C. Kiefer, 2012, AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science.