Serguei V. S. Pakhomov

Publication Activity (10 Years)

Years Active: 2002-2023
Publications (10 Years): 24

Top Topics

Automatic Speech Recognition

Language Processing

Semantic Models

Top Venues

Publications

Xiruo Ding, Zhecheng Sheng, Brian Hur, Feng Chen, Serguei V. S. Pakhomov, Trevor Cohen
Enhancing Robustness of Foundation Model Representations under Provenance-related Distribution Shifts. CoRR (2023)
Benjamin C. Knoll, Reed McEwan, Raymond L. Finzel, Greg M. Silverman, Rui Zhang, Serguei V. S. Pakhomov, Genevieve B. Melton
MTAP - A Distributed Framework for NLP Pipelines. ICHI (2022)
Jianfu Li, Yujia Zhou, Xiaoqian Jiang, Karthik Natarajan, Serguei V. S. Pakhomov, Hongfang Liu, Hua Xu
Are synthetic clinical notes useful for real natural language processing tasks: A case study on clinical entity recognition. J. Am. Medical Informatics Assoc. 28 (10) (2021)
Shreya Datar, Elizabeth A. Lindemann, Greg M. Silverman, Reed McEwan, Raymond L. Finzel, Michael E. Kotlyar, Genevieve B. Melton, Serguei V. S. Pakhomov
Identifying Mentions of Life Stressors in Clinical Notes. ICHI (2021)
Greg M. Silverman, Himanshu S. Sahoo, Nicholas Ingraham, Monica Lupei, Michael A. Puskarich, Michael Usher, James Dries, Raymond L. Finzel, Eric Murray, John Sartori, György J. Simon, Rui Zhang, Genevieve B. Melton, Christopher J. Tignanelli, Serguei V. S. Pakhomov
NLP Methods for Extraction of Symptoms from Unstructured Data for Use in Prognostic COVID-19 Analytic Models. J. Artif. Intell. Res. 72 (2021)
Greg M. Silverman, Raymond L. Finzel, Michael V. Heinz, Jake Vasilakes, Jacob C. Solinsky, Reed McEwan, Benjamin C. Knoll, Christopher J. Tignanelli, Hongfang Liu, Hua Xu, Xiaoqian Jiang, Genevieve B. Melton, Serguei V. S. Pakhomov
An Empirical Study of UMLS Concept Extraction from Clinical Notes using Boolean Combination Ensembles. CoRR (2021)
Hongfang Liu, Xiaoqian Jiang, Serguei V. S. Pakhomov, Chunhua Weng, Hua Xu
The Open Health Natural Language Processing Collaboratory. AMIA (2020)
Benjamin C. Knoll, Elizabeth A. Lindemann, Arian L. Albert, Genevieve B. Melton, Serguei V. S. Pakhomov
Recurrent Deep Network Models for Clinical NLP Tasks: Use Case with Sentence Boundary Disambiguation. MedInfo (2019)
Serguei V. S. Pakhomov, Raymond L. Finzel, Jerika Eppel, Michael E. Kotlyar
Feasibility of using Fitbit® to infer stress exposure in everyday life. AMIA (2018)
Yadan Fan, Terrence J. Adam, Reed McEwan, Serguei V. S. Pakhomov, Genevieve B. Melton, Rui Zhang
Detecting Signals of Interactions Between Warfarin and Dietary Supplements in Electronic Health Records. MedInfo (2017)
Gretchen M. Hultman, Reed McEwan, Serguei V. S. Pakhomov, Steven J. Skube, Genevieve B. Melton
Usability Testing of a Clinical Document Search Engine for Researchers. CRI (2017)
Gregory P. Finley, Benjamin C. Knoll, Hongfang Liu, Hua Xu, Genevieve B. Melton, Serguei V. S. Pakhomov
Using ensembles of NLP engines without a common type system to improve abbreviation disambiguation. CRI (2017)
Yadan Fan, Lu He, Serguei V. S. Pakhomov, Genevieve B. Melton, Rui Zhang
Classifying Supplement Use Status in Clinical Notes. CRI (2017)
Gregory P. Finley, Benjamin C. Knoll, Reed McEwan, Genevieve B. Melton, Hongfang Liu, Hua Xu, Serguei V. S. Pakhomov
AMICUS: A Metasystem for Interoperation and Combination of UIMA Systems. AMIA (2017)
Rui Zhang, Serguei V. S. Pakhomov, Elliot G. Arsoniadis, Janet T. Lee, Yan Wang, Genevieve B. Melton
Detecting clinically relevant new information in clinical notes across specialties and settings. BMC Medical Informatics Decis. Mak. 17 (2) (2017)
Gregory P. Finley, Serguei V. S. Pakhomov, Genevieve B. Melton
Automated De-Identification of Distributional Semantic Models. AMIA (2016)
Yan Wang, Elizabeth S. Chen, Serguei V. S. Pakhomov, Elizabeth Lindemann, Genevieve B. Melton
Investigating Longitudinal Tobacco Use Information from Social History and Clinical Notes in the Electronic Health Record. AMIA (2016)
Reed McEwan, Genevieve B. Melton, Benjamin C. Knoll, Yan Wang, Gretchen M. Hultman, Justin L. Dale, Tim Meyer, Serguei V. S. Pakhomov
NLP-PIER: A Scalable Natural Language Processing, Indexing, and Searching Architecture for Clinical Notes. CRI (2016)
Serguei V. S. Pakhomov, Gregory P. Finley, Reed McEwan, Yan Wang, Genevieve B. Melton
Corpus domain effects on distributional semantic modeling of medical terms. Bioinform. 32 (23) (2016)
Gregory P. Finley, Serguei V. S. Pakhomov, Reed McEwan, Genevieve B. Melton
Towards Comprehensive Clinical Abbreviation Disambiguation Using Machine-Labeled Training Data. AMIA (2016)
Gretchen M. Hultman, Jenna L. Marquard, Osadebamwen Ighile, Oladimeji Farri, Elizabeth Lindemann, Elliot G. Arsoniadis, Serguei V. S. Pakhomov, Genevieve B. Melton
Does Section Order Affect Physicians' Experiences Reviewing Ambulatory Progress Notes? AMIA (2016)
Benjamin C. Knoll, Genevieve B. Melton, Hongfang Liu, Hua Xu, Serguei V. S. Pakhomov
Using synthetic clinical data to train an HMM-based POS tagger. BHI (2016)
Rubina F. Rizvi, Kathleen A. Harder, Gretchen M. Hultman, Terrence J. Adam, Michael Kim, Serguei V. S. Pakhomov, Genevieve B. Melton
A comparative observational study of inpatient clinical note-entry and reading/retrieval styles adopted by physicians. Int. J. Medical Informatics 90 (2016)
Yan Wang, Elizabeth S. Chen, Ilo Leppik, Serguei V. S. Pakhomov, Indra Neil Sarkar, Genevieve B. Melton
Identifying Family History and Substance Use Associations for Adult Epilepsy from the Electronic Health Record. CRI (2016)
Genevieve B. Melton, Yan Wang, Elliot G. Arsoniadis, Serguei V. S. Pakhomov, Terrence J. Adam, Mary R. Kwaan, David A. Rothenberger, Elizabeth S. Chen
Analyzing Operative Note Structure in Development of a Section Header Resource. MedInfo (2015)
Nivedha Manohar, Terrence J. Adam, Serguei V. S. Pakhomov, Genevieve B. Melton, Rui Zhang
Evaluation of Herbal and Dietary Supplement Resource Term Coverage. MedInfo (2015)
Serguei V. S. Pakhomov, Susan E. Marino, Sarah J. Banks, Charles Bernick
Using automatic speech recognition to assess spoken responses to cognitive tests of semantic verbal fluency. Speech Commun. 75 (2015)
Rui Zhang, Nivedha Manohar, Elliot G. Arsoniadis, Yan Wang, Terrence J. Adam, Serguei V. S. Pakhomov, Genevieve B. Melton
Evaluating Term Coverage of Herbal and Dietary Supplements in Electronic Health Records. AMIA (2015)
Serguei V. S. Pakhomov, David T. Jones, David S. Knopman
Language networks associated with computerized semantic indices. NeuroImage 104 (2015)
Yan Wang, Elizabeth S. Chen, Serguei V. S. Pakhomov, Elliot G. Arsoniadis, Elizabeth W. Carter, Elizabeth Lindemann, Indra Neil Sarkar, Genevieve B. Melton
Automated Extraction of Substance Use Information from Clinical Texts. AMIA (2015)
Kyle Marek-Spartz, Benjamin Knoll, Robert Bill, S. Thomas Christie, Serguei V. S. Pakhomov
System for automated speech and language analysis (SALSA). INTERSPEECH (2014)
Robert Bill, Serguei V. S. Pakhomov, Elizabeth S. Chen, Tamara Winden, Elizabeth W. Carter, Genevieve B. Melton
Automated Extraction of Family History Information from Clinical Notes. AMIA (2014)
Yan Wang, Serguei V. S. Pakhomov, James O. Ryan, Genevieve B. Melton
Semantic Role Labeling for Modeling Surgical Procedures in Operative Notes. AMIA (2014)
Rui Zhang, Serguei V. S. Pakhomov, Janet T. Lee, Genevieve B. Melton
Using Language Models to Identify Relevant New Information in Inpatient Clinical Note. AMIA (2014)
Rui Zhang, Michael J. Cairelli, Marcelo Fiszman, Graciela Rosemblat, Halil Kilicoglu, Thomas C. Rindflesch, Serguei V. S. Pakhomov, Genevieve B. Melton
Using semantic predications to uncover drug-drug interactions in clinical data. J. Biomed. Informatics 49 (2014)
Bridget T. McInnes, Ted Pedersen, Ying Liu, Genevieve B. Melton, Serguei V. S. Pakhomov
U-path: An undirected path-based measure of semantic similarity. AMIA (2014)
Sungrim Moon, Serguei V. S. Pakhomov, Nathan Liu, James O. Ryan, Genevieve B. Melton
A sense inventory for clinical abbreviations and acronyms created using clinical notes and medical dictionary resources. J. Am. Medical Informatics Assoc. 21 (2) (2014)
Serguei V. S. Pakhomov, Susan E. Marino, Angela K. Birnbaum
Quantification of speech disfluency as a marker of medication-induced cognitive impairment: An application of computerized speech analysis in neuropharmacology. Comput. Speech Lang. 27 (1) (2013)
Yan Wang, Serguei V. S. Pakhomov, Genevieve B. Melton
Predicate Argument Structure Frames for Modeling Information in Operative Notes. MedInfo (2013)
James O. Ryan, Serguei V. S. Pakhomov, Susan E. Marino, Charles Bernick, Sarah J. Banks
Computerized Analysis of a Verbal Fluency Test. ACL (2) (2013)
Bridget T. McInnes, Ted Pedersen, Serguei V. S. Pakhomov, Ying Liu, Genevieve Melton-Meaux
UMLS: : Similarity: Measuring the Relatedness and Similarity of Biomedical Concepts. HLT-NAACL (2013)
Rui Zhang, Serguei V. S. Pakhomov, Janet T. Lee, Genevieve B. Melton
Navigating Longitudinal Clinical Notes with an Automated Method for Detecting New Information. MedInfo (2013)
Oladimeji Farri, Karen A. Monsen, Serguei V. S. Pakhomov, David S. Pieczkiewicz, Stuart M. Speedie, Genevieve B. Melton
Effects of time constraints on clinician-computer interaction: A study on information synthesis from EHR clinical notes. J. Biomed. Informatics 46 (6) (2013)
Sungrim Moon, Serguei V. S. Pakhomov, Genevieve B. Melton
Automated Disambiguation of Acronyms and Abbreviations in Clinical Texts: Window and Training Size Considerations. AMIA (2012)
Jacob Okamoto, Serguei V. S. Pakhomov, Elizabeth Shriberg, Andreas Stolcke
ProTK: An Improved Prosody Toolkit. INTERSPEECH (2012)
Rui Zhang, Serguei V. S. Pakhomov, Sophia Gladding, Michael Aylward, Emily Borman-Shoap, Genevieve B. Melton
Automated Assessment of Medical Training Evaluation Text. AMIA (2012)
Robert Bill, Ying Liu, Bridget T. McInnes, Genevieve B. Melton, Ted Pedersen, Serguei V. S. Pakhomov
Evaluating Semantic Relatedness and Similarity Measures with Standardized MedDRA Queries. AMIA (2012)
Ying Liu, Robert Bill, Marcelo Fiszman, Thomas C. Rindflesch, Ted Pedersen, Genevieve B. Melton, Serguei V. S. Pakhomov
Using SemRep to Label Semantic Relations Extracted from Clinical Text. AMIA (2012)
Ying Liu, Bridget T. McInnes, Ted Pedersen, Genevieve Melton-Meaux, Serguei V. S. Pakhomov
Semantic relatedness study using second order co-occurrence vectors computed from biomedical corpora, UMLS and WordNet. IHI (2012)
Rui Zhang, Serguei V. S. Pakhomov, Genevieve B. Melton
Automated identification of relevant new information in clinical narrative. IHI (2012)
Oladimeji Farri, David S. Pieczkiewicz, Ahmed Rahman, Serguei V. S. Pakhomov, Terrence Adam, Genevieve B. Melton
A Qualitative Analysis of EHR Clinical Document Synthesis by Clinicians. AMIA (2012)
Ted Pedersen, Serguei V. S. Pakhomov, Bridget T. McInnes, Ying Liu
Measuring the similarity and relatedness of concepts in the medical domain: IHI 2012 tutorial overview. IHI (2012)
Yan Wang, Serguei V. S. Pakhomov, Nora Burkart, James O. Ryan, Genevieve B. Melton
A Study of Actions in Operative Notes. AMIA (2012)
S. Thomas Christie, Serguei V. S. Pakhomov
Prosody Toolkit: Integrating HTK, Praat and WEKA. INTERSPEECH (2011)
Bridget T. McInnes, Ted Pedersen, Ying Liu, Serguei V. S. Pakhomov, Genevieve B. Melton
Using Second-order Vectors in a Knowledge-based Method for Acronym Disambiguation. CoNLL (2011)
Serguei V. S. Pakhomov, Michael E. Kotlyar
Prosodic Correlates of Individual Physiological Response to Stress. INTERSPEECH (2011)
Serguei V. S. Pakhomov, Ted Pedersen, Bridget T. McInnes, Genevieve B. Melton, Alexander Ruggieri, Christopher G. Chute
Towards a framework for developing semantic relatedness reference standards. J. Biomed. Informatics 44 (2) (2011)
Genevieve B. Melton, Nandhini Raman, Elizabeth S. Chen, Indra Neil Sarkar, Serguei V. S. Pakhomov, Robert D. Madoff
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. J. Am. Medical Informatics Assoc. 17 (3) (2010)
Bridget T. McInnes, Ted Pedersen, Serguei V. S. Pakhomov
UMLS-Interface and UMLS-Similarity : Open Source Software for Measuring Paths and Semantic Similarity. AMIA (2009)
Serguei V. S. Pakhomov, Penny L. Hanson, Susan S. Bjornsen, Steven A. Smith
Technical Brief: Automatic Classification of Foot Examination Findings Using Clinical Notes and Machine Learning. J. Am. Medical Informatics Assoc. 15 (2) (2008)
Serguei V. S. Pakhomov, Jayson Richardson, Matt Finholt-Daniel, Gregory Sales
Forced-Alignment and Edit-Distance Scoring for Vocabulary Tutoring Applications. TSD (2008)
Serguei V. S. Pakhomov, Nilay D. Shah, Penny L. Hanson, Saranya Balasubramaniam, Steven A. Smith
Automatic Quality of Life Prediction Using Electronic Medical Records. AMIA (2008)
Ted Pedersen, Serguei V. S. Pakhomov, Siddharth Patwardhan, Christopher G. Chute
Measures of semantic similarity and relatedness in the biomedical domain. J. Biomed. Informatics 40 (3) (2007)
Mahesh Joshi, Serguei V. S. Pakhomov, Ted Pedersen, Richard Maclin, Christopher G. Chute
An End-to-End Supervised Target-Word Sense Disambiguation System. AAAI (2006)
Mahesh Joshi, Serguei V. S. Pakhomov, Ted Pedersen, Christopher G. Chute
A Comparative Study of Supervised Learning as Applied to Acronym Expansion in Clinical Reports. AMIA (2006)
Serguei V. S. Pakhomov, Christopher G. Chute
A Hybrid Approach to Determining Modification of Clinical Diagnoses. AMIA (2006)
Serguei V. S. Pakhomov, Anni Coden, Christopher G. Chute
Developing a corpus of clinical notes manually annotated for part-of-speech. Int. J. Medical Informatics 75 (6) (2006)
Serguei V. S. Pakhomov, James D. Buntrock, Christopher G. Chute
Research Paper: Automating the Assignment of Diagnosis Codes to Patient Encounters Using Example-based and Machine Learning Techniques. J. Am. Medical Informatics Assoc. 13 (5) (2006)
Mahesh Joshi, Ted Pedersen, Richard Maclin, Serguei V. S. Pakhomov
Kernel Methods for Word Sense Disambiguation and Acronym Expansion. AAAI (2006)
Serguei V. S. Pakhomov, James D. Buntrock, Patrick H. Duffy
High Throughput Modularized NLP System for Clinical Text. ACL (2005)
Yacov Kogan, Nigel Collier, Serguei V. S. Pakhomov, Michael Krauthammer
Towards Semantic Role Labeling & IE in the Medical Literature. AMIA (2005)
Alexander P. Ruggieri, Serguei V. S. Pakhomov, Christopher G. Chute
A Corpus Driven Approach Applying the "Frame Semantic" Method for Modeling Functional Status Terminology. MedInfo (2004)
Serguei V. S. Pakhomov, James D. Buntrock, Christopher G. Chute
Using Compund Codes for Automatic Classification of Clinical Diagnoses. MedInfo (2004)
Guergana K. Savova, Marcelline R. Harris, Thomas M. Johnson, Serguei V. S. Pakhomov, Christopher G. Chute
A Data-Driven Approach for Extracting "the Most Specific Term" for Ontology Development. AMIA (2003)
Serguei V. S. Pakhomov, Alexander Ruggieri, Christopher G. Chute
Maximum entropy modeling for mining patient medication status from free text. AMIA (2002)