Serguei V. S. Pakhomov

发表

UMLS-Interface and UMLS-Similarity : Open Source Software for Measuring Paths and Semantic Similarity

Ted Pedersen, Bridget T. McInnes, Serguei V. S. Pakhomov, 2009, AMIA.

Using SemRep to Label Semantic Relations Extracted from Clinical Text

Ying Liu, Ted Pedersen, Robert Bill, 2012, AMIA.

Automated Assessment of Medical Training Evaluation Text

Serguei V. S. Pakhomov, Genevieve B. Melton, Rui Zhang, 2012, AMIA.

Evaluating Term Coverage of Herbal and Dietary Supplements in Electronic Health Records

Terrence Adam, Serguei V. S. Pakhomov, Genevieve B. Melton, 2015, AMIA.

Towards Semantic Role Labeling & IE in the Medical Literature

Michael Krauthammer, Nigel Collier, Serguei V. S. Pakhomov, 2005, AMIA.

Conversational Agent for Daily Living Assessment Coaching

Maria L. Gini, Serguei V. S. Pakhomov, Aditya Gaydhani, 2020, AI4Function@IJCAI.

Modeling Filled Pauses in Medical Dictations

Serguei V. S. Pakhomov, 1999, ACL.

A Data-Driven Approach for Extracting "the Most Specific Term" for Ontology Development

Christopher G. Chute, Serguei V. S. Pakhomov, Guergana K. Savova, 2003, AMIA.

Automated Identification of Synonyms in Biomedical Acronym Sense Inventories

Bridget T. McInnes, Serguei V. S. Pakhomov, Genevieve B. Melton, 2010, Louhi@NAACL-HLT.

Ted Pedersen, Ying Liu, Bridget T. McInnes, 2012, IHI '12.

Evaluation of Herbal and Dietary Supplement Resource Term Coverage

Terrence Adam, Serguei V. S. Pakhomov, Genevieve B. Melton, 2015, MedInfo.

Prospective recruitment of patients with congestive heart failure using an ad-hoc binary classifier

Christopher G. Chute, Serguei V. S. Pakhomov, James D. Buntrock, 2005, J. Biomed. Informatics.

Prosodic Correlates of Individual Physiological Response to Stress

Serguei V. S. Pakhomov, Michael E. Kotlyar, 2011, INTERSPEECH.

Automated De-Identification of Distributional Semantic Models

Serguei V. S. Pakhomov, Genevieve B. Melton, Gregory P. Finley, 2016, AMIA.

Forced-Alignment and Edit-Distance Scoring for Vocabulary Tutoring Applications

Serguei V. S. Pakhomov, Jayson Richardson, Matt Finholt-Daniel, 2008, TSD.

Medical Facts to Support Inferencing in Natural Language Processing

Halil Kilicoglu, Serguei V. S. Pakhomov, Marcelo Fiszman, 2005, AMIA.

Using Volunteers to Annotate Biomedical Corpora for Anaphora Resolution

Maria L. Gini, Daniel Boley, Serguei V. S. Pakhomov, 2005, AAAI Spring Symposium: Knowledge Collection from Volunteer Contributors.

Ease of adoption of clinical natural language processing software: An evaluation of five systems

Yang Liu, Yue Wang, Hongfang Liu, 2015, J. Biomed. Informatics.

Incorporating Bigram Statistics to Spelling Correction Tools

Ted Pedersen, Christopher G. Chute, Serguei V. S. Pakhomov, 2004 .

Quantification of speech disfluency as a marker of medication-induced cognitive impairment: An application of computerized speech analysis in neuropharmacology

Serguei V. S. Pakhomov, Susan E. Marino, Angela K. Birnbaum, 2013, Comput. Speech Lang..

Technical Brief: Automatic Classification of Foot Examination Findings Using Clinical Notes and Machine Learning

Serguei V. S. Pakhomov, Steven A. Smith, Susan S. Bjornsen, 2008, J. Am. Medical Informatics Assoc..

Towards Comprehensive Clinical Abbreviation Disambiguation Using Machine-Labeled Training Data

Reed McEwan, Serguei V. S. Pakhomov, Genevieve B. Melton, 2016, AMIA.

Determining the Syntactic Structure of Medical Terms in Clinical Notes

Ted Pedersen, Bridget T. McInnes, Serguei V. S. Pakhomov, 2007, BioNLP@ACL.

Using PharmGKB to train text mining approaches for identifying potential gene targets for pharmacogenomic studies

Bridget T. McInnes, Serguei V. S. Pakhomov, Genevieve B. Melton, 2012, J. Biomed. Informatics.

NLP-PIER: A Scalable Natural Language Processing, Indexing, and Searching Architecture for Clinical Notes

Reed McEwan, Serguei V. S. Pakhomov, Genevieve B. Melton, 2016, CRI.

Using Second-order Vectors in a Knowledge-based Method for Acronym Disambiguation

Ying Liu, Ted Pedersen, Bridget T. McInnes, 2011, CoNLL.

CLAMP – a toolkit for efficiently building customized clinical natural language processing pipelines

Hongfang Liu, Jingqi Wang, Ergin Soysal, 2017, J. Am. Medical Informatics Assoc..

A Comparative Study of Supervised Learning as Applied to Acronym Expansion in Clinical Reports

Ted Pedersen, Christopher G. Chute, Serguei V. S. Pakhomov, 2006, AMIA.

A comparative observational study of inpatient clinical note-entry and reading/retrieval styles adopted by physicians

Michael Kim, Terrence Adam, Serguei V. S. Pakhomov, 2016, Int. J. Medical Informatics.

Creating a Test Corpus of Clinical Notes Manually Tagged for Part-of-Speech Information

Christopher G. Chute, Serguei V. S. Pakhomov, Anni Coden, 2004, NLPBA/BioNLP.

Usability Evaluation of NLP-PIER: A Clinical Document Search Engine for Researchers

Reed McEwan, Serguei V. S. Pakhomov, Genevieve B. Melton, 2017, MedInfo.

Does Section Order Affect Physicians' Experiences Reviewing Ambulatory Progress Notes?

Jenna L. Marquard, Serguei V. S. Pakhomov, Oladimeji Farri, 2016, AMIA.

A sense inventory for clinical abbreviations and acronyms created using clinical notes and medical dictionary resources

Serguei V. S. Pakhomov, Genevieve B. Melton, Sungrim Moon, 2014, J. Am. Medical Informatics Assoc..

Towards a framework for developing semantic relatedness reference standards

Ted Pedersen, Christopher G. Chute, Bridget T. McInnes, 2011, J. Biomed. Informatics.

Using ensembles of NLP engines without a common type system to improve abbreviation disambiguation

Hongfang Liu, Hua Xu, Serguei V. S. Pakhomov, 2017, Summit on Clinical Research Informatics.

Using synthetic clinical data to train an HMM-based POS tagger

Hongfang Liu, Hua Xu, Serguei V. S. Pakhomov, 2016, 2016 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI).

U-path: An undirected path-based measure of semantic similarity

Ying Liu, Ted Pedersen, Bridget T. McInnes, 2014, AMIA.

Ted Pedersen, Ying Liu, Bridget T. McInnes, 2013, NAACL.

System for automated speech and language analysis (SALSA)

Robert Bill, Serguei V. S. Pakhomov, S. Thomas Christie, 2014, INTERSPEECH.

A Corpus Driven Approach Applying the "Frame Semantic" Method for Modeling Functional Status Terminology

Christopher G. Chute, Serguei V. S. Pakhomov, Alexander P. Ruggieri, 2004, MedInfo.

Automated Disambiguation of Acronyms and Abbreviations in Clinical Texts: Window and Training Size Considerations

Serguei V. S. Pakhomov, Genevieve B. Melton, Sungrim Moon, 2012, AMIA.

Semi-Supervised Maximum Entropy Based Approach to Acronym and Abbreviation Normalization in Medical Texts

Serguei V. S. Pakhomov, 2002, ACL.

Automated identification of relevant new information in clinical narrative

Serguei V. S. Pakhomov, Genevieve B. Melton, Rui Zhang, 2012, IHI '12.

Kernel Methods for Word Sense Disambiguation and Acronym Expansion

Ted Pedersen, Serguei V. S. Pakhomov, Richard Maclin, 2006, AAAI.

Automated Extraction of Family History Information from Clinical Notes

Robert Bill, Serguei V. S. Pakhomov, Genevieve B. Melton, 2014, AMIA.

Effects of time constraints on clinician-computer interaction: A study on information synthesis from EHR clinical notes

Serguei V. S. Pakhomov, Stuart M. Speedie, Oladimeji Farri, 2013, J. Biomed. Informatics.

Prosody Toolkit: Integrating HTK, Praat and WEKA

Serguei V. S. Pakhomov, S. Thomas Christie, 2011, INTERSPEECH.

Generating Training Data for Medical Dictations

Serguei V. S. Pakhomov, Joan Bachenko, Michael Schonwetter, 2001, NAACL.

Classifying Supplement Use Status in Clinical Notes

Serguei V. S. Pakhomov, Genevieve B. Melton, Rui Zhang, 2017, CRI.

Using automatic speech recognition to assess spoken responses to cognitive tests of semantic verbal fluency

Serguei V. S. Pakhomov, Sarah Banks, Susan E. Marino, 2015, Speech Commun..

A Qualitative Analysis of EHR Clinical Document Synthesis by Clinicians

Terrence Adam, Serguei V. S. Pakhomov, Oladimeji Farri, 2012, AMIA.

Developing a corpus of clinical notes manually annotated for part-of-speech

Christopher G. Chute, Serguei V. S. Pakhomov, Anni Coden, 2006, Int. J. Medical Informatics.

Detecting Signals of Interactions Between Warfarin and Dietary Supplements in Electronic Health Records

Reed McEwan, Terrence Adam, Serguei V. S. Pakhomov, 2018, MedInfo.

An End-to-End Supervised Target-Word Sense Disambiguation System

Ted Pedersen, Christopher G. Chute, Serguei V. S. Pakhomov, 2006, AAAI.

Predicate Argument Structure Frames for Modeling Information in Operative Notes

Serguei V. S. Pakhomov, Genevieve B. Melton, Yan Wang, 2013, MedInfo.

Measuring the similarity and relatedness of concepts in the medical domain: IHI 2012 tutorial overview

Ying Liu, Ted Pedersen, Bridget T. McInnes, 2012, IHI '12.

Identifying Family History and Substance Use Associations for Adult Epilepsy from the Electronic Health Record

Serguei V. S. Pakhomov, Genevieve B. Melton, Elizabeth S. Chen, 2016, CRI.

Domain-specific language models and lexicons for tagging

Christopher G. Chute, Serguei V. S. Pakhomov, Patrick H. Duffy, 2005, J. Biomed. Informatics.

Computerized Analysis of a Verbal Fluency Test

Serguei V. S. Pakhomov, Sarah Banks, Susan E. Marino, 2013, ACL.

Using Compund Codes for Automatic Classification of Clinical Diagnoses

Christopher G. Chute, Serguei V. S. Pakhomov, James D. Buntrock, 2004, MedInfo.

Using word embeddings to expand terminology of dietary supplements on clinical notes

Reed McEwan, Serguei V. S. Pakhomov, Rui Zhang, 2019, JAMIA open.

Automated Extraction of Substance Use Information from Clinical Texts

Serguei V. S. Pakhomov, Genevieve B. Melton, Elizabeth S. Chen, 2015, AMIA.

Abbreviation and Acronym Disambiguation in Clinical Discourse

Ted Pedersen, Christopher G. Chute, Serguei V. S. Pakhomov, 2005, AMIA.

Maximum entropy modeling for mining patient medication status from free text

Christopher G. Chute, Serguei V. S. Pakhomov, Alexander Ruggieri, 2002, AMIA.

A Study of Actions in Operative Notes

Serguei V. S. Pakhomov, Genevieve B. Melton, Yan Wang, 2012, AMIA.

Usability Testing of a Clinical Document Search Engine for Researchers

Reed McEwan, Serguei V. S. Pakhomov, Genevieve B. Melton, 2017, CRI.

Language networks associated with computerized semantic indices

Serguei V. S. Pakhomov, David T. Jones, David S. Knopman, 2015, NeuroImage.

Evaluation of family history information within clinical documents and adequacy of HL7 clinical statement and clinical genomics family history models for its representation: a case report

Serguei V. S. Pakhomov, Genevieve B. Melton, Elizabeth S. Chen, 2010, J. Am. Medical Informatics Assoc..

Evaluating Semantic Relatedness and Similarity Measures with Standardized MedDRA Queries

Ying Liu, Ted Pedersen, Robert Bill, 2012, AMIA.

Using semantic predications to uncover drug-drug interactions in clinical data

Halil Kilicoglu, Serguei V. S. Pakhomov, Marcelo Fiszman, 2014, J. Biomed. Informatics.

Analyzing Operative Note Structure in Development of a Section Header Resource

Terrence Adam, Serguei V. S. Pakhomov, Genevieve B. Melton, 2015, MedInfo.

Domain adaption of parsing for operative notes

Serguei V. S. Pakhomov, Genevieve B. Melton, Yan Wang, 2015, J. Biomed. Informatics.

Improving language model perplexity and recognition accuracy for medical dictations via within-domain interpolation with literal and semi-literal corpora

Serguei V. S. Pakhomov, Guergana K. Savova, Michael Schonwetter, 2000, INTERSPEECH.

Impact of a prototype visualization tool for new information in EHR clinical documents.

Rui Zhang, Serguei V. S. Pakhomov, Oladimeji Farri, 2012, Applied clinical informatics.

Investigating Longitudinal Tobacco Use Information from Social History and Clinical Notes in the Electronic Health Record

Serguei V. S. Pakhomov, Genevieve B. Melton, Elizabeth S. Chen, 2016, AMIA.

Research Paper: Automating the Assignment of Diagnosis Codes to Patient Encounters Using Example-based and Machine Learning Techniques

Christopher G. Chute, Serguei V. S. Pakhomov, James D. Buntrock, 2006, J. Am. Medical Informatics Assoc..

Measures of semantic similarity and relatedness in the biomedical domain

Ted Pedersen, Siddharth Patwardhan, Christopher G. Chute, 2007, J. Biomed. Informatics.

Using Language Models to Identify Relevant New Information in Inpatient Clinical Note

Serguei V. S. Pakhomov, Genevieve B. Melton, Rui Zhang, 2014, AMIA.

Frame Semantics and the Domain of Functioning, Disability and Health

Christopher G. Chute, Serguei V. S. Pakhomov, Guergana K. Savova, 2005, AMIA.

What Analogies Reveal about Word Vectors and their Compositionality

Serguei V. S. Pakhomov, Gregory P. Finley, Stephanie Farmer, 2017, *SEM.

Exploring Adjectival Modification in Biomedical Discourse Across Two Genres

Olivier Bodenreider, Serguei V. S. Pakhomov, 2003, BioNLP@ACL.

Feasibility of using Fitbit® to infer stress exposure in everyday life

Serguei V. S. Pakhomov, Raymond L. Finzel, Michael E. Kotlyar, 2018, AMIA.

Corpus domain effects on distributional semantic modeling of medical terms

Reed McEwan, Serguei V. S. Pakhomov, Genevieve B. Melton, 2016, Bioinform..

ProTK: An Improved Prosody Toolkit

Andreas Stolcke, Elizabeth Shriberg, Serguei V. S. Pakhomov, 2012, INTERSPEECH.

Serguei V. S. Pakhomov, 2018 .

A Hybrid Approach to Determining Modification of Clinical Diagnoses

Christopher G. Chute, Serguei V. S. Pakhomov, C. Chute, 2006, AMIA.

High Throughput Modularized NLP System for Clinical Text

Serguei V. S. Pakhomov, James D. Buntrock, Patrick H. Duffy, 2005, ACL.

Comparing NLP Systems to Extract Entities of Eligibility Criteria in Dietary Supplements Clinical Trials Using NLP-ADAPT

Serguei V. S. Pakhomov, Raymond L. Finzel, Jake Vasilakes, 2020, AIME.

Semantic Role Labeling for Modeling Surgical Procedures in Operative Notes

Serguei V. S. Pakhomov, Genevieve B. Melton, Yan Wang, 2014, AMIA.

Identification of Patients with Congestive Heart Failure using a Binary Classifier: A Case Study

Christopher G. Chute, Serguei V. S. Pakhomov, James D. Buntrock, 2003, BioNLP@ACL.

Navigating Longitudinal Clinical Notes with an Automated Method for Detecting New Information

Serguei V. S. Pakhomov, Genevieve B. Melton, Rui Zhang, 2015, MedInfo.

AMICUS: A Metasystem for Interoperation and Combination of UIMA Systems

Hongfang Liu, Hua Xu, Reed McEwan, 2017, American Medical Informatics Association Annual Symposium.

Detecting clinically relevant new information in clinical notes across specialties and settings

Serguei V. S. Pakhomov, Genevieve B. Melton, Rui Zhang, 2017, BMC Medical Informatics and Decision Making.

Automatic Quality of Life Prediction Using Electronic Medical Records

Serguei V. S. Pakhomov, Steven A. Smith, Penny L. Hanson, 2008, AMIA.

Identifying Mentions of Life Stressors in Clinical Notes

Reed McEwan, Serguei V. S. Pakhomov, Genevieve B. Melton, 2021, 2021 IEEE 9th International Conference on Healthcare Informatics (ICHI).

Are synthetic clinical notes useful for real natural language processing tasks: A case study on clinical entity recognition

Serguei V. S. Pakhomov, Hongfang Liu, Xiaoqian Jiang, 2021, J. Am. Medical Informatics Assoc..

Longitudinal Analysis of New Information Types in Clinical Notes

Serguei V. S. Pakhomov, Rui Zhang, G. Melton, 2014, AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science.

A computerized technique to assess language use patterns in patients with frontotemporal dementia

Serguei V. S. Pakhomov, Glenn E. Smith, D. Knopman, 2010, Journal of Neurolinguistics.

Computerized Analysis of Speech and Language to Identify Psycholinguistic Correlates of Frontotemporal Lobar Degeneration

Serguei V. S. Pakhomov, Glenn E. Smith, D. Knopman, 2010, Cognitive and behavioral neurology : official journal of the Society for Behavioral and Cognitive Neurology.

Exploiting Literature-derived Knowledge and Semantics to Identify Potential Prostate Cancer Drugs

Halil Kilicoglu, Serguei V. S. Pakhomov, Marcelo Fiszman, 2014, Cancer informatics.

Electronic medical records for clinical research: application to the identification of heart failure.

Serguei V. S. Pakhomov, C. Chute, V. Roger, 2007, The American journal of managed care.

Epidemiology of angina pectoris: role of natural language processing of the medical record.

Serguei V. S. Pakhomov, V. Roger, H. Hemingway, 2007, American heart journal.

Agreement between patient-reported symptoms and their documentation in the medical record.

Serguei V. S. Pakhomov, C. Chute, V. Roger, 2008, The American journal of managed care.

Evaluating active learning methods for annotating semantic predications

Serguei V. S. Pakhomov, Rubina F. Rizvi, Rui Zhang, 2018, JAMIA open.

Characterizing cognitive performance in a large longitudinal study of aging with computerized semantic indices of verbal fluency

Serguei V. S. Pakhomov, David Knopman, D. Knopman, 2016, Neuropsychologia.

A computational linguistic measure of clustering behavior on semantic verbal fluency task predicts risk of future dementia in the Nun Study

Serguei V. S. Pakhomov, Laura S. Hemmy, L. Hemmy, 2014, Cortex.

Mining Biomedical Literature to Explore Interactions between Cancer Drugs and Dietary Supplements

György J. Simon, Serguei V. S. Pakhomov, Genevieve B. Melton, 2015, AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science.

Using consumer-wearable technology for remote assessment of physiological response to stress in the naturalistic environment

Serguei V. S. Pakhomov, Raymond L. Finzel, P. Thuras, 2020, PloS one.

Challenges and Opportunities to Improve the Clinician Experience Reviewing Electronic Progress Notes

Serguei V. S. Pakhomov, Gretchen M. Hultman, Elizabeth A. Lindemann, 2019, Applied Clinical Informatics.

COVID-19 TestNorm: A tool to normalize COVID-19 testing names to LOINC codes

Xiaoqian Jiang, Lucila Ohno-Machado, Serguei V. S. Pakhomov, 2020, J. Am. Medical Informatics Assoc..

Effects of age and dementia on temporal cycles in spontaneous speech fluency

Serguei V. S. Pakhomov, Daniel L. Boley, Susan E. Marino, 2011, Journal of Neurolinguistics.

A thematic analysis for how patients, prescribers, experts, and patient advocates view the prescription choice process.

Serguei V. S. Pakhomov, Serguei V S Pakhomov, Andrea L Kjos, 2009, Research in social & administrative pharmacy : RSAP.

Automated semantic indices related to cognitive function and rate of cognitive decline

Serguei V. S. Pakhomov, Kelvin O. Lim, Laura S. Hemmy, 2012, Neuropsychologia.

Clinical Abbreviation Sense Inventory

Serguei V. S. Pakhomov, Genevieve B. Melton, Sungrim Moon, 2012 .

Natural language processing of prehospital emergency medical services trauma records allows for automated characterization of treatment appropriateness

Serguei V. S. Pakhomov, Raymond L. Finzel, Benjamin C. Knoll, 2020, The journal of trauma and acute care surgery.

Automated processing of electronic medical records is a reliable method of determining aspirin use in populations at risk for cardiovascular events.

Serguei V. S. Pakhomov, Penny L. Hanson, Nilay D Shah, 2010, Informatics in primary care.

Predictors of Postacute Sequelae of COVID-19 Development and Rehabilitation: A Retrospective Study

Serguei V. S. Pakhomov, Greg M. Silverman, C. Tignanelli, 2022, Archives of Physical Medicine and Rehabilitation.

Feasibility of Using an Armband Optical Heart Rate Sensor in Naturalistic Environment

Serguei V. S. Pakhomov, P. Thuras, M. Kotlyar, 2022, bioRxiv.

AUTOMATED LINGUISTIC ANALYSIS OF PATIENTS WITH DEMENTIA AND MILD COGNITIVE IMPAIRMENT

Bridget T. McInnes, Serguei V. S. Pakhomov, Ellen A. Korcovelos, 2016, Alzheimer's & Dementia.

The Far Side of Failure: Investigating the Impact of Speech Recognition Errors on Subsequent Dementia Classification

Serguei V. S. Pakhomov, T. Cohen, Changye Li, 2022, ArXiv.

Recurrent perseverations on semantic verbal fluency tasks as an early marker of cognitive impairment

Serguei V. S. Pakhomov, Lynn E Eberly, David S Knopman, 2018, Journal of clinical and experimental neuropsychology.

Pharmacokinetic-pharmacodynamic modelling of intravenous and oral topiramate and its effect on phonemic fluency in adult healthy volunteers.

Serguei V. S. Pakhomov, S. Marino, A. Birnbaum, 2015, British journal of clinical pharmacology.

Paradoxical lucidity: A potential paradigm shift for the neurobiology and treatment of severe dementias

Serguei V. S. Pakhomov, G. Mashour, J. Karlawish, 2019, Alzheimer's & Dementia.

Systolic and diastolic heart failure in the community.

Serguei V. S. Pakhomov, Serguei Pakhomov, V. Roger, 2006, JAMA.

Crossing the “Cookie Theft” Corpus Chasm: Applying What BERT Learns From Outside Data to the ADReSS Challenge Dementia Detection Task

Serguei V. S. Pakhomov, T. Cohen, Yue Guo, 2021, Frontiers in Computer Science.

Altered verbal fluency processes in older adults with age-related hearing loss

Serguei V. S. Pakhomov, B. Lawlor, David G Loughrey, 2019, Experimental Gerontology.

NLP Methods for Extraction of Symptoms from Unstructured Data for Use in Prognostic COVID-19 Analytic Models

György J. Simon, Serguei V. S. Pakhomov, Raymond L. Finzel, 2021, J. Artif. Intell. Res..

Computerized assessment of syntactic complexity in Alzheimer’s disease: a case study of Iris Murdoch’s writing

Serguei V. S. Pakhomov, Serguei Pakhomov, Jeanette K. Gundel, 2011, Behavior research methods.

GPT-D: Inducing Dementia-related Linguistic Anomalies by Deliberate Degradation of Artificial Neural Language Models

Serguei V. S. Pakhomov, D. Knopman, T. Cohen, 2022, ACL.

Fully automated detection of formal thought disorder with Time-series Augmented Representations for Detection of Incoherent Speech (TARDIS)

Serguei V. S. Pakhomov, Andrew T. Campbell, D. Ben-Zeev, 2022, J. Biomed. Informatics.

A conversational agent system for dietary supplements use pdf

Serguei V. S. Pakhomov, Jiang Bian, Rui Zhang, 2021, BMC Medical Informatics and Decision Making.

Use of an automated mobile application to assess effects of nicotine withdrawal on verbal fluency: A pilot study.

Serguei V. S. Pakhomov, M. Kotlyar, Wrenda Teeple, 2016, Experimental and clinical psychopharmacology.

Terrence Adam, Bridget T. McInnes, Serguei V. S. Pakhomov, 2010, AMIA ... Annual Symposium proceedings. AMIA Symposium.

An Empirical Study of UMLS Concept Extraction from Clinical Notes using Boolean Combination Ensembles pdf

Reed McEwan, Serguei V. S. Pakhomov, Genevieve B. Melton, 2021, ArXiv.

Named Entity Recognition in Prehospital Trauma Care

Reed McEwan, Serguei V. S. Pakhomov, Serguei Pakhomov, 2019, MedInfo.

A Dialogue System for Assessing Activities of Daily Living: Improving Consistency with Grounded Knowledge

Maria L. Gini, Serguei V. S. Pakhomov, Raymond L. Finzel, 2023, DIALDOC.

Open Source Clinical NLP – More than Any Single System

Hongfang Liu, Christopher G. Chute, Hua Xu, 2014, AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science.

Usability Evaluation of an Unstructured Clinical Document Query Tool for Researchers

Reed McEwan, Serguei V. S. Pakhomov, Genevieve B. Melton, 2018, AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science.

TRESTLE: Toolkit for Reproducible Execution of Speech, Text and Language Experiments

Serguei V. S. Pakhomov, T. Cohen, Martin Michalowski, 2023, AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science.

A Tale of Two Perplexities: Sensitivity of Neural Language Models to Lexical Retrieval Deficits in Dementia of the Alzheimer’s Type pdf

Trevor Cohen, Serguei V. S. Pakhomov, Serguei Pakhomov, 2020, ACL.

An Opportunity for Pharmacists to Help Improve Coordination and Continuity of Patient Health Care

Serguei V. S. Pakhomov, J. Schommer, P. Ranelli, 2018, Pharmacy.

Evaluating measures of redundancy in clinical texts.

Bridget T. McInnes, Serguei V. S. Pakhomov, Rui Zhang, 2011, AMIA ... Annual Symposium proceedings. AMIA Symposium.

Quality Performance Measurement Using the Text of Electronic Medical Records

Serguei V. S. Pakhomov, Serguei Pakhomov, Penny L. Hanson, 2008, Medical decision making : an international journal of the Society for Medical Decision Making.

Everyday Living Artificial Intelligence Hub

Maria Gini, Maria L. Gini, Serguei V. S. Pakhomov, 2021, DASH.

Measuring Physiological Markers of Stress During Conversational Agent Interactions

Serguei V. S. Pakhomov, Esther W. Foo, Gini, 2021 .

Knowledge-based method for determining the meaning of ambiguous biomedical terms using information content measures of similarity.

Bridget T. McInnes, Serguei V. S. Pakhomov, Ying Liu, 2011, AMIA ... Annual Symposium proceedings. AMIA Symposium.

Application of HL7/LOINC Document Ontology to a University-Affiliated Integrated Health System Research Clinical Data Repository

Yan Wang, Serguei V. S. Pakhomov, Genevieve B. Melton, 2014, AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science.

The role of the electronic medical record in the assessment of health related quality of life.

Serguei V. S. Pakhomov, Penny L. Hanson, Nilay D Shah, 2011, AMIA ... Annual Symposium proceedings. AMIA Symposium.

Using semantic predications to uncover drug-drug interactions in clinical data

Serguei V. S. Pakhomov, Michael J. Cairelli, T. Rindflesch, 2014, J. Biomed. Informatics.

A fast, resource efficient, and reliable rule-based system for COVID-19 symptom identification

Serguei V. S. Pakhomov, Raymond L. Finzel, Benjamin C. Knoll, 2021, JAMIA open.

A privacy-preserving distributed filtering framework for NLP artifacts

Xiaoqian Jiang, Serguei V. S. Pakhomov, Hongfang Liu, 2019, BMC Medical Informatics and Decision Making.

Evaluation of family history information within clinical documents and adequacy of HL7 clinical statement and clinical genomics family history models for its representation: a case report

Serguei V. S. Pakhomov, Elizabeth S. Chen, G. Melton, 2010, J. Am. Medical Informatics Assoc..

It's about this and that: a description of anaphoric expressions in clinical text.

Yan Wang, Serguei V. S. Pakhomov, Serguei Pakhomov, 2011, AMIA ... Annual Symposium proceedings. AMIA Symposium.

Bridget T. McInnes, Serguei V. S. Pakhomov, Ted Pedersen, 2010, AMIA ... Annual Symposium proceedings. AMIA Symposium.

Automating the assignment of diagnosis codes to patient encounters using example-based and machine learning techniques.

Serguei V. S. Pakhomov, J. Buntrock, D., 2006, Journal of the American Medical Informatics Association : JAMIA.

Comparing Existing Resources to Represent Dietary Supplements

Serguei V. S. Pakhomov, Rubina F. Rizvi, Elizabeth A. Lindemann, 2018, AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science.