Shyam Visweswaran

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Dependence versus Conditional Dependence in Local Causal Discovery from Gene Expression Data pdf

Shyam Visweswaran, Eric V. Strobl, S. Visweswaran, 2014, ArXiv.

The application of naive Bayes model averaging to predict Alzheimer's disease from genome-wide data

Shyam Visweswaran, Wei Wei, Gregory F. Cooper, 2011, J. Am. Medical Informatics Assoc..

Outlier detection for patient monitoring and alerting

Gilles Clermont, Milos Hauskrecht, Shyam Visweswaran, 2013, J. Biomed. Informatics.

The use of semantic distance metrics to support ontology audit.

Shyam Visweswaran, Jian Wang, Roger Day, 2010, AMIA ... Annual Symposium proceedings. AMIA Symposium.

Conditional anomaly detection methods for patient-management alert systems.

Milos Hauskrecht, Shyam Visweswaran, Michal Valko, 2008, Proceedings of the ... International Conference on Machine Learning. International Conference on Machine Learning.

Eye-tracking for clinical decision support: A method to capture automatically what physicians are viewing in the EMR

Gilles Clermont, Shyam Visweswaran, Harry Hochheiser, 2017, CRI.

A multivariate probabilistic method for comparing two clinical datasets

Gilles Clermont, Milos Hauskrecht, Shyam Visweswaran, 2012, IHI '12.

Deep Multiple Kernel Learning

Shyam Visweswaran, Eric V. Strobl, S. Visweswaran, 2013, 2013 12th International Conference on Machine Learning and Applications.

Comparison of machine learning classifiers for influenza detection from emergency department free-text reports

Ye Ye, Shyam Visweswaran, Gregory F. Cooper, 2015, J. Biomed. Informatics.

Detecting Adverse Drug Events in Discharge Summaries Using Variations on the Simple Bayes Model

Shyam Visweswaran, Gregory F. Cooper, Paul Hanbury, 2003, AMIA.

Interactive NLP in Clinical Care: Identifying Incidental Findings in Radiology Reports

Harry Hochheiser, Shyam Visweswaran, Gaurav Trivedi, 2019, Applied Clinical Informatics.

Outlier-based detection of unusual patient-management actions: An ICU study

Gilles Clermont, Milos Hauskrecht, Shyam Visweswaran, 2016, J. Biomed. Informatics.

Identifying genetic interactions associated with late-onset Alzheimer’s disease

Shyam Visweswaran, M. Michael Barmada, Charalampos S. Floudas, 2014, BioData Mining.

Informative Bayesian Model Selection: a method for identifying interactions in genome-wide data.

Shyam Visweswaran, Ali Masoudi-Nejad, Mehran Aflakparast, 2014, Molecular bioSystems.

Bayesian rule learning for biomedical data mining

Shyam Visweswaran, Gregory F. Cooper, Vanathi Gopalakrishnan, 2010, Bioinform..

Detection of Patients with Influenza Syndrome Using Machine-Learning Models Learned from Emergency Department Reports

Shyam Visweswaran, Gregory F. Cooper, Fu-Chiang Tsui, 2013, Online Journal of Public Health Informatics.

Automated annotation and classification of BI-RADS assessment from radiology reports

Shyam Visweswaran, Olga Medvedeva, Eugene Tseytlin, 2017, J. Biomed. Informatics.

Analysis of a Failed Clinical Decision Support System for Management of Congestive Heart Failure

Shyam Visweswaran, Wendy W. Chapman, Gregory F. Cooper, 2008, AMIA.

Software Package to Load Data from REDCap to PCORnet CDM 4.0

Shyam Visweswaran, Michael J. Becich, Jonathan C. Silverstein, 2018, AMIA.

A Computable Phenotype Library Plugin for i2b2

Yu Zhang, Shyam Visweswaran, Michele Morris, 2018, AMIA.

Semi-automated literature mining to identify putative biomarkers of disease from multiple biofluids

Shyam Visweswaran, Vanathi Gopalakrishnan, Rick Jordan, 2014, Journal of Clinical Bioinformatics.

Identifying incidental findings from radiology reports of trauma patients: An evaluation of automated feature representation methods

Shyam Visweswaran, Charmgil Hong, Harry Hochheiser, 2019, Int. J. Medical Informatics.

An Interactive NLP Tool for Signout Note Preparation

Shyam Visweswaran, Harry Hochheiser, Wendy W. Chapman, 2018, 2018 IEEE International Conference on Healthcare Informatics (ICHI).

A fast algorithm for learning epistatic genomic relationships.

Gregory F Cooper, Shyam Visweswaran, Xia Jiang, 2010, AMIA ... Annual Symposium proceedings. AMIA Symposium.

Computerized detection of adverse drug reactions in the medical intensive care unit

Shyam Visweswaran, Melissa I. Saul, Louis E. Penrod, 2011, Int. J. Medical Informatics.

Improving Classification Performance with Discretization on Biomedical Datasets

Shyam Visweswaran, Vanathi Gopalakrishnan, Jonathan L. Lustgarten, 2008, AMIA.

Measuring Stability of Feature Selection in Biomedical Datasets

Shyam Visweswaran, Vanathi Gopalakrishnan, Jonathan L. Lustgarten, 2009, AMIA.

Translational bioinformatics in mental health: open access data sources and computational biomarker discovery

Shyam Visweswaran, Liang Ma, Jessica D. Tenenbaum, 2017, Briefings Bioinform..

Insights from a dissertation on the development of a Learning Electronic Medical Record System: data-driven, context-aware learning

Shyam Visweswaran, Gregory F. Cooper, Gilles Clermont, 2019, AMIA.

Application of a spatially-weighted Relief algorithm for ranking genetic predictors of disease

Shyam Visweswaran, Matthew E. Stokes, S. Visweswaran, 2012, BioData Mining.

Evidence-based Anomaly Detection in Clinical Domains

Milos Hauskrecht, Shyam Visweswaran, Michal Valko, 2007, AMIA.

Knowledge transfer via classification rules using functional mapping for integrative modeling of gene expression data

Shyam Visweswaran, Xinghua Lu, Vanathi Gopalakrishnan, 2015, BMC Bioinformatics.

Knowledge-based variable selection for learning rules from proteomic data

Shyam Visweswaran, Vanathi Gopalakrishnan, William R. Hogan, 2009, BMC Bioinformatics.

Curating EHR data in the All of Us Research Program

Shyam Visweswaran, Thomas R. Campion, Robert J. Carroll, 2019, AMIA.

Personalized Modeling for Prediction with Decision-Path Models

Shyam Visweswaran, Gregory F. Cooper, Antonio Ferreira, 2015, PloS one.

A Bayesian Method for Identifying Genetic Interactions

Shyam Visweswaran, M. Michael Barmada, An-Kwok Ian Wong, 2009, AMIA.

Scoring, Searching and Evaluating Bayesian Network Models of Gene-phenotype Association

Shyam Visweswaran, Richard E. Neapolitan, Xia Jiang, 2014 .

Mining Epistatic Interactions from High-Dimensional Data Sets

Shyam Visweswaran, Richard E. Neapolitan, Xia Jiang, 2012 .

Dirac Delta Regression: Conditional Density Estimation with Clinical Trials pdf

Shyam Visweswaran, Eric V. Strobl, 2019, ArXiv.

Graphical Presentations of Clinical Data in a Learning Electronic Medical Record

Gregory F Cooper, Harry Hochheiser, Shyam Visweswaran, 2020, Applied Clinical Informatics.

Conditional Outlier Approach for Detection of Unusual Patient Care Actions

Gilles Clermont, Milos Hauskrecht, Shyam Visweswaran, 2013, AAAI.

Unlocking proteomic heterogeneity in complex diseases through visual analytics

Shyam Visweswaran, Bryant Dang, Rohit Divekar, 2015, Proteomics.

Assessing the Performance Characteristics of Signals Used by a Clinical Event Monitor to Detect Adverse Drug Reactions in the Nursing Home

Shyam Visweswaran, Subashan Perera, Douglas B. Fridsma, 2008, AMIA.

Social Context Sentence Classification from Psychiatric Reports using Positive and Unlabeled Learning

Rich Tsui, Shyam Visweswaran, Jose D. Posada, 2018, AMIA.

Application of an efficient Bayesian discretization method to biomedical data

Shyam Visweswaran, Gregory F. Cooper, Vanathi Gopalakrishnan, 2011, BMC Bioinformatics.

KNGP: A network-based gene prioritization algorithm that incorporates multiple sources of knowledge.

Shyam Visweswaran, Chad Kimmel, 2015, American journal of bioinformatics and computational biology.

Markov Boundary Discovery with Ridge Regularized Linear Models

Shyam Visweswaran, Eric V. Strobl, Eric V Strobl, 2015, Journal of causal inference.

Utility of Visual Analytics for Identifying Patient Subgroups in EMRs: Insights for Accelerating Precision Medicine

Shyam Visweswaran, Tianlong Chen, Suresh K. Bhavnani, 2018, AMIA.

Evaluation of eye-tracking methods for a decision support application

Gregory F Cooper, Shyam Visweswaran, Gilles Clermont, 2020, medRxiv.

Computer Science, Biology and Biomedical Informatics academy: Outcomes from 5 years of Immersing High-school Students into Informatics Research

Harry Hochheiser, Shyam Visweswaran, Arielle M. Fisher, 2017, Journal of pathology informatics.

Network Label Propagation Yields Reproducible Biomarker SNPs in Alzheimer's Datasets

Shyam Visweswaran, Matthew E. Stokes, 2012, AMIA.

Counting Markov Blanket Structures pdf

Shyam Visweswaran, Gregory F. Cooper, 2014, ArXiv.

Workflow for Developing i2b2 Ontologies from Source Terminologies in ACT

Yu Zhang, Shyam Visweswaran, Michele Morris, 2018, AMIA.

Enabling Comprehension of Patient Subgroups and Characteristics in Large Bipartite Networks: Implications for Precision Medicine

Shyam Visweswaran, Tianlong Chen, Suresh K. Bhavnani, 2017, AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science.

Semi-Supervised Hierarchical Drug Embedding in Hyperbolic Space

Shyam Visweswaran, Kayhan Batmanghelich, Ke Yu, 2020, J. Chem. Inf. Model..

Improving Peptide Identification via Validation with Intensity-based Modeling of Tandem Mass Spectra

Shyam Visweswaran, Vanathi Gopalakrishnan, Jonathan L. Lustgarten, 2008, BCBGC.

Learning patient-specific predictive models from clinical data

Shyam Visweswaran, Lisa A. Weissfeld, Gregory F. Cooper, 2010, J. Biomed. Informatics.

Team-Centered Informatics: A Necessary Adaptation to Translational and Implementation Science?

Shyam Visweswaran, Suresh K. Bhavnani, Erich Kummerfeld, 2019, AMIA.

An Algorithm for Network-Based Gene Prioritization That Encodes Knowledge Both in Nodes and in Links

Shyam Visweswaran, Chad Kimmel, S. Visweswaran, 2013, PloS one.

Vicinity Exploration: Enabling User-Driven Visual Search of Multiple Machine Learning Models for Precision Medicine

Shyam Visweswaran, Kevin E. Bassler, Tianlong Chen, 2017, AMIA.

Building an automated SOAP classifier for emergency department reports

Shyam Visweswaran, Janyce Wiebe, Wendy W Chapman, 2012, J. Biomed. Informatics.

Machine Learning Classifiers for Twitter Surveillance of Vaping: Comparative Machine Learning Study

Shyam Visweswaran, Sanya Bathla Taneja, Kar-Hai Chu, 2020, Journal of medical Internet research.

The role of complementary bipartite visual analytical representations in the analysis of SNPs: a case study in ancestral informative markers

Shyam Visweswaran, Kevin E. Bassler, Suresh K. Bhavnani, 2012, J. Am. Medical Informatics Assoc..

Towards Team-Centered Informatics: Accelerating Innovation in Multidisciplinary Scientific Teams Through Visual Analytics

Shyam Visweswaran, Suresh K. Bhavnani, Rohit Divekar, 2018, The Journal of Applied Behavioral Science.

Decision Path Models for Patient-Specific Modeling of Patient Outcomes

Shyam Visweswaran, Gregory F. Cooper, Antonio Luiz S. Ferreira, 2013, AMIA.

Fast causal inference with non-random missingness by test-wise deletion

Shyam Visweswaran, Eric V. Strobl, Peter L. Spirtes, 2017, International Journal of Data Science and Analytics.

Data-driven identification of unusual clinical actions in the ICU

Gilles Clermont, Milos Hauskrecht, Shyam Visweswaran, 2013, AMIA.

Learning genetic epistasis using Bayesian network scoring criteria

Shyam Visweswaran, Richard E. Neapolitan, M. Michael Barmada, 2011, BMC Bioinformatics.

Patient-Specific Modeling Algorithm for Medical Data Based on AUC

Shyam Visweswaran, Alexandre César Muniz de Oliveira, Gregory F. Cooper, 2016 .

Deriving the Expected Utility of a Predictive Model When the Utilities Are Uncertain

Shyam Visweswaran, Gregory F. Cooper, 2005, AMIA.

Document Retrieval using a Probabilistic Knowledge Model

Milos Hauskrecht, Shyam Visweswaran, Shuguang Wang, 2009, KDIR.

Learning Instance-Specific Predictive Models

Shyam Visweswaran, Gregory F. Cooper, 2010, J. Mach. Learn. Res..

An Evaluation of Discretization Methods for Learning Rules from Biomedical Datasets

Shyam Visweswaran, Vanathi Gopalakrishnan, Jonathan L. Lustgarten, 2008, BIOCOMP.

Estimating and Controlling the False Discovery Rate of the PC Algorithm Using Edge-specific P-Values

Shyam Visweswaran, Eric V. Strobl, Peter L. Spirtes, 2016, ACM Trans. Intell. Syst. Technol..

Gene prioritization using a probabilistic knowledge model

Milos Hauskrecht, Shyam Visweswaran, Shuguang Wang, 2009, 2009 IEEE International Conference on Bioinformatics and Biomedicine Workshop.

An Empirical Investigation of Instance-Specific Causal Bayesian Network Learning

Shyam Visweswaran, Gregory F. Cooper, Fattaneh Jabbari, 2019, 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Development and Preliminary Evaluation of a Prototype of a Learning Electronic Medical Record System

Gilles Clermont, Shyam Visweswaran, Harry Hochheiser, 2015, AMIA.

Patient-Specific Models for Predicting the Outcomes of Patients with Community Acquired Pneumonia

Shyam Visweswaran, Gregory F. Cooper, G. Cooper, 2005, AMIA.

Design of a Learning Electronic Medical Record: A Qualitative Study of ICU Clinicians' Information Needs and Practices

Gilles Clermont, Shyam Visweswaran, Harry Hochheiser, 2018, AMIA.

LEARNING PATIENT-SPECIFIC MODELS FROM CLINICAL DATA

Shyam Visweswaran, S. Visweswaran, 2007 .

Learning Parsimonious Classification Rules from Gene Expression Data Using Bayesian Networks with Local Structure

Shyam Visweswaran, Vanathi Gopalakrishnan, Jeya Balaji Balasubramanian, 2017, Data.

An informatics research agenda to support precision medicine: seven key areas

Subha Madhavan, Radhakrishnan Nagarajan, Shyam Visweswaran, 2016, J. Am. Medical Informatics Assoc..

Selective Model Averaging with Bayesian Rule Learning for Predictive Biomedicine

Shyam Visweswaran, Gregory F. Cooper, Vanathi Gopalakrishnan, 2014, AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science.

Markov Blanket Ranking using Kernel-based Conditional Dependence Measures pdf

Shyam Visweswaran, Eric V. Strobl, S. Visweswaran, 2014, Cause Effect Pairs in Machine Learning.

Instance-Specific Bayesian Model Averaging for Classification

Shyam Visweswaran, Gregory F. Cooper, 2004, NIPS.

Exploring Novel Graphical Representations of Clinical Data in a Learning EMR

Gilles Clermont, Shyam Visweswaran, Harry Hochheiser, 2017, AMIA.

Using Machine Learning to Predict the Information Seeking Behavior of Clinicians Using an Electronic Medical Record System

Gilles Clermont, Milos Hauskrecht, Shyam Visweswaran, 2018, AMIA.

Instance-Specific Bayesian Network Structure Learning

Shyam Visweswaran, Fattaneh Jabbari, Gregory F. Cooper, 2018, PGM.

Patient-Specific Modeling of Medical Data

Shyam Visweswaran, Alexandre César Muniz de Oliveira, Gregory F. Cooper, 2015, MLDM.

Leveraging Eye Tracking to Prioritize Relevant Medical Record Data: Comparative Machine Learning Study

Andrew J King, Gregory F Cooper, Harry Hochheiser, 2020, Journal of medical Internet research.

Categorizing metadata to help mobilize computable biomedical knowledge

Shyam Visweswaran, Allen J. Flynn, Christina Eldredge, 2021, Learning health systems.

Bayesian Network Models with Decision Tree Analysis for Management of Childhood Malaria in Malawi

Shyam Visweswaran, Marek J. Druzdzel, Gerald P. Douglas, 2021 .

Using Distribution Divergence to Predict Changes in the Performance of Clinical Predictive Models

Shyam Visweswaran, Mohammadamin Tajgardoon, 2021, AIME.

Predicting outcomes in central venous catheter salvage in pediatric central line-associated bloodstream infection

Shyam Visweswaran, Andrew J. Nowalk, Lorne W. Walker, 2021, J. Am. Medical Informatics Assoc..

Bayesian network models with decision tree analysis for management of childhood malaria in Malawi

Shyam Visweswaran, Marek J. Druzdzel, Gerald P. Douglas, 2021, BMC Medical Informatics and Decision Making.

Heterogeneity within and across Pediatric Pulmonary Infections: From Bipartite Networks to At-Risk Subphenotypes

Shyam Visweswaran, Suresh K. Bhavnani, Gowtham Bellala, 2014, AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science.

Accrual to Clinical Trials (ACT): A Clinical and Translational Science Award Consortium Network

Shyam Visweswaran, Douglas MacFadden, Shawn N Murphy, 2018, JAMIA open.

How Cytokines Co-occur across Rickettsioses Patients: From Bipartite Visual Analytics to Mechanistic Inferences of a Cytokine Storm

Shyam Visweswaran, Suresh K. Bhavnani, Gowtham Bellala, 2013, AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science.

The Building Blocks of Inter-operability

Shyam Visweswaran, Shaun J. Grannis, Douglas S. Bell, 2017, Applied Clinical Informatics.

A statistical approach for detecting deviations from usual medical care.

Gregory F Cooper, Milos Hauskrecht, Shyam Visweswaran, 2007, AMIA ... Annual Symposium proceedings. AMIA Symposium.

The application of network label propagation to rank biomarkers in genome-wide Alzheimer’s data

Shyam Visweswaran, M Michael Barmada, Matthew E. Stokes, 2014, BMC Genomics.

Conditional outlier detection for clinical alerting.

Gregory F Cooper, Milos Hauskrecht, Shyam Visweswaran, 2010, AMIA ... Annual Symposium proceedings. AMIA Symposium.

Candidate Gene Prioritization Using Network Based Probabilistic Models

Milos Hauskrecht, Shyam Visweswaran, Shuguang Wang, 2010 .

How Comorbidities Co-Occur in Readmitted Hip Fracture Patients: From Bipartite Networks to Insights for Post-Discharge Planning

Shyam Visweswaran, Suresh K. Bhavnani, Bryant Dang, 2015, AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science.