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ORCIDSerguei V. S. Pakhomov
Serguei Pakhomov – Sergey V. Pakhomov
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Journal Articles
- 2024
[j31]Changye Li
, Weizhe Xu, Trevor Cohen, Serguei Pakhomov:
Useful blunders: Can automated speech recognition errors improve downstream dementia classification? J. Biomed. Informatics 150: 104598 (2024)- 2023
- [j30]Weichen Wang, Weizhe Xu, Ayesha Chander, Subigya Nepal, Benjamin Buck, Serguei Pakhomov, Trevor Cohen, Dror Ben-Zeev, Andrew Campbell:
The Power of Speech in the Wild: Discriminative Power of Daily Voice Diaries in Understanding Auditory Verbal Hallucinations Using Deep Learning. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 7(3): 133:1-133:29 (2023) - 2022
- [j29]Weizhe Xu, Weichen Wang, Jake Portanova, Ayesha Chander, Andrew Campbell, Serguei Pakhomov, Dror Ben-Zeev, Trevor Cohen:
Fully automated detection of formal thought disorder with Time-series Augmented Representations for Detection of Incoherent Speech (TARDIS). J. Biomed. Informatics 126: 103998 (2022) - [j28]Esha Singh, Anusha Bompelli, Ruyuan Wan, Jiang Bian, Serguei Pakhomov, Rui Zhang:
A conversational agent system for dietary supplements use. BMC Medical Informatics Decis. Mak. 22-S(1): 153 (2022) - 2021
- [j27]Yue Guo, Changye Li, Carol Roan, Serguei Pakhomov, Trevor Cohen:
Crossing the "Cookie Theft" Corpus Chasm: Applying What BERT Learns From Outside Data to the ADReSS Challenge Dementia Detection Task. Frontiers Comput. Sci. 3: 642517 (2021) - [j26]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: 429-474 (2021) - [j25]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): 2193-2201 (2021) - 2020
- [j24]Xiao Dong, Jianfu Li, Ekin Soysal, Jiang Bian, Scott L. DuVall, Elizabeth Hanchrow, Hongfang Liu, Kristine E. Lynch, Michael E. Matheny, Karthik Natarajan, Lucila Ohno-Machado, Serguei Pakhomov, Ruth Madeleine Reeves, Amy M. Sitapati, Swapna Abhyankar, Theresa Cullen, Jami Deckard, Xiaoqian Jiang, Robert Murphy, Hua Xu:
COVID-19 TestNorm: A tool to normalize COVID-19 testing names to LOINC codes. J. Am. Medical Informatics Assoc. 27(9): 1437-1442 (2020) - 2019
- [j23]Gretchen M. Hultman, Jenna L. Marquard, Elizabeth Lindemann, Elliot G. Arsoniadis, Serguei Pakhomov, Genevieve B. Melton:
Challenges and Opportunities to Improve the Clinician Experience Reviewing Electronic Progress Notes. Appl. Clin. Inform. 10(03): 446-453 (2019) - [j22]Md. Nazmus Sadat, Md Momin Al Aziz, Noman Mohammed, Serguei Pakhomov, Hongfang Liu, Xiaoqian Jiang:
A privacy-preserving distributed filtering framework for NLP artifacts. BMC Medical Informatics Decis. Mak. 19(1): 183:1-183:10 (2019) - 2018
- [j21]Ergin Soysal, Jingqi Wang, Min Jiang, Yonghui Wu, Serguei Pakhomov, Hongfang Liu, Hua Xu:
CLAMP - a toolkit for efficiently building customized clinical natural language processing pipelines. J. Am. Medical Informatics Assoc. 25(3): 331-336 (2018) - 2017
- [j20]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): 15-22 (2017) - 2016
- [j19]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): 3635-3644 (2016) - [j18]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: 1-11 (2016) - 2015
- [j17]Yan Wang, Serguei Pakhomov, James O. Ryan, Genevieve B. Melton:
Domain adaption of parsing for operative notes. J. Biomed. Informatics 54: 1-9 (2015) - [j16]Kai Zheng, V. G. Vinod Vydiswaran, Yang Liu, Yue Wang, Amber Stubbs, Özlem Uzuner, Anupama E. Gururaj, Samuel Bayer, John S. Aberdeen, Anna Rumshisky, Serguei Pakhomov, Hongfang Liu, Hua Xu:
Ease of adoption of clinical natural language processing software: An evaluation of five systems. J. Biomed. Informatics 58: S189-S196 (2015) - [j15]Serguei V. S. Pakhomov, David T. Jones, David S. Knopman:
Language networks associated with computerized semantic indices. NeuroImage 104: 125-137 (2015) - [j14]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: 14-26 (2015) - 2014
- [j13]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): 299-307 (2014) - [j12]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: 134-147 (2014) - 2013
- [j11]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): 116-134 (2013) - [j10]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): 1136-1144 (2013) - 2012
- [j9]Sergey V. Pakhomov, Bridget T. McInnes, J. Lamba, Y. Liu, Genevieve B. Melton, Yogita Ghodke, N. Bhise, V. Lamba, Angela K. Birnbaum:
Using PharmGKB to train text mining approaches for identifying potential gene targets for pharmacogenomic studies. J. Biomed. Informatics 45(5): 862-869 (2012) - 2011
- [j8]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): 251-265 (2011) - 2010
- [j7]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): 337-340 (2010) - 2008
- [j6]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): 198-202 (2008) - 2007
- [j5]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): 288-299 (2007) - 2006
- [j4]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): 418-429 (2006) - [j3]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): 516-525 (2006) - 2005
- [j2]Sergey V. Pakhomov, James D. Buntrock, Christopher G. Chute:
Prospective recruitment of patients with congestive heart failure using an ad-hoc binary classifier. J. Biomed. Informatics 38(2): 145-153 (2005) - [j1]Anni Coden, Sergey V. Pakhomov, Rie Kubota Ando, Patrick H. Duffy, Christopher G. Chute:
Domain-specific language models and lexicons for tagging. J. Biomed. Informatics 38(6): 422-430 (2005)
Conference and Workshop Papers
- 2024
- [c81]Changye Li, Zhecheng Sheng, Trevor Cohen, Serguei Pakhomov:
Too Big to Fail: Larger Language Models are Disproportionately Resilient to Induction of Dementia-Related Linguistic Anomalies. ACL (Findings) 2024: 6363-6377 - 2023
- [c80]Jacob C. Solinsky, Raymond L. Finzel, Martin Michalowski, Serguei Pakhomov:
Automated Neural Nursing Assistant (ANNA): An Over-The-Phone System for Cognitive Monitoring. INTERSPEECH 2023: 684-685 - 2022
- [c79]Changye Li, David S. Knopman, Weizhe Xu, Trevor Cohen, Serguei Pakhomov:
GPT-D: Inducing Dementia-related Linguistic Anomalies by Deliberate Degradation of Artificial Neural Language Models. ACL (1) 2022: 1866-1877 - [c78]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: 537-538 - 2021
- [c77]Raymond L. Finzel, Aditya Gaydhani, Sheena Dufresne, Maria L. Gini, Serguei Pakhomov:
Conversational Agent for Daily Living Assessment Coaching Demo. EACL (System Demonstrations) 2021: 321-328 - [c76]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: 153-160 - 2020
- [c75]Trevor Cohen, Serguei Pakhomov:
A Tale of Two Perplexities: Sensitivity of Neural Language Models to Lexical Retrieval Deficits in Dementia of the Alzheimer's Type. ACL 2020: 1946-1957 - [c74]Anusha Bompelli, Greg M. Silverman, Raymond L. Finzel, Jake Vasilakes, Benjamin Knoll, Serguei Pakhomov, Rui Zhang:
Comparing NLP Systems to Extract Entities of Eligibility Criteria in Dietary Supplements Clinical Trials Using NLP-ADAPT. AIME 2020: 67-77 - [c73]Hongfang Liu, Xiaoqian Jiang, Serguei V. S. Pakhomov, Chunhua Weng, Hua Xu:
The Open Health Natural Language Processing Collaboratory. AMIA 2020 - [c72]Esha Singh, Anusha Bompelli, Andrew Yang, Andrew Wang, Serguei Pakhomov, Rui Zhang:
A Prototype Conversational Agent for Dietary Supplements. ICHI 2020: 1-2 - [c71]Aditya Gaydhani, Raymond L. Finzel, Sheena Dufresne, Maria L. Gini, Serguei Pakhomov:
Conversational Agent for Daily Living Assessment Coaching. AI4Function@IJCAI 2020: 8-13 - 2019
- [c70]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: 198-202 - [c69]Greg M. Silverman, Elizabeth A. Lindemann, Geetanjali Rajamani, Raymond L. Finzel, Reed McEwan, Benjamin C. Knoll, Serguei Pakhomov, Genevieve B. Melton, Christopher J. Tignanelli:
Named Entity Recognition in Prehospital Trauma Care. MedInfo 2019: 1586-1587 - [c68]Gretchen M. Hultman, Jenna L. Marquard, Swaminathan Kandaswamy, Elizabeth A. Lindemann, Serguei Pakhomov, Genevieve B. Melton:
Electronic Progress Note Reading Patterns: An Eye Tracking Analysis. MedInfo 2019: 1684-1685 - 2018
- [c67]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 - 2017
- [c66]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 - [c65]Yadan Fan, Lu He, Serguei V. S. Pakhomov, Genevieve B. Melton, Rui Zhang:
Classifying Supplement Use Status in Clinical Notes. CRI 2017 - [c64]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 - [c63]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 - [c62]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: 370-374 - [c61]Gretchen M. Hultman, Reed McEwan, Serguei Pakhomov, Elizabeth Lindemann, Steven J. Skube, Genevieve B. Melton:
Usability Evaluation of NLP-PIER: A Clinical Document Search Engine for Researchers. MedInfo 2017: 1269 - [c60]Gregory P. Finley, Stephanie Farmer, Serguei Pakhomov:
What Analogies Reveal about Word Vectors and their Compositionality. *SEM 2017: 1-11 - 2016
- [c59]Gregory P. Finley, Serguei V. S. Pakhomov, Genevieve B. Melton:
Automated De-Identification of Distributional Semantic Models. AMIA 2016 - [c58]Gregory P. Finley, Serguei V. S. Pakhomov, Reed McEwan, Genevieve B. Melton:
Towards Comprehensive Clinical Abbreviation Disambiguation Using Machine-Labeled Training Data. AMIA 2016 - [c57]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 - [c56]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 - [c55]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: 252-255 - [c54]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 - [c53]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 - 2015
- [c52]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 - [c51]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 - [c50]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: 785-789 - [c49]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: 821-826 - 2014
- [c48]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 - [c47]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 - [c46]Yan Wang, Serguei V. S. Pakhomov, James O. Ryan, Genevieve B. Melton:
Semantic Role Labeling for Modeling Surgical Procedures in Operative Notes. AMIA 2014 - [c45]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 - [c44]Kyle Marek-Spartz, Benjamin Knoll, Robert Bill, S. Thomas Christie, Serguei V. S. Pakhomov:
System for automated speech and language analysis (SALSA). INTERSPEECH 2014: 2142-2143 - 2013
- [c43]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: 884-889 - [c42]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: 754-758 - [c41]Yan Wang, Serguei V. S. Pakhomov, Genevieve B. Melton:
Predicate Argument Structure Frames for Modeling Information in Operative Notes. MedInfo 2013: 783-787 - [c40]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: 28-31 - 2012
- [c39]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 - [c38]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 - [c37]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 - [c36]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 - [c35]Yan Wang, Serguei V. S. Pakhomov, Nora Burkart, James O. Ryan, Genevieve B. Melton:
A Study of Actions in Operative Notes. AMIA 2012 - [c34]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 - [c33]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: 363-372 - [c32]Rui Zhang, Serguei V. S. Pakhomov, Genevieve B. Melton:
Automated identification of relevant new information in clinical narrative. IHI 2012: 837-842 - [c31]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: 879-880 - [c30]Jacob Okamoto, Serguei V. S. Pakhomov, Elizabeth Shriberg, Andreas Stolcke:
ProTK: An Improved Prosody Toolkit. INTERSPEECH 2012: 1892-1893 - 2011
- [c29]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: 145-153 - [c28]Serguei V. S. Pakhomov, Michael E. Kotlyar:
Prosodic Correlates of Individual Physiological Response to Stress. INTERSPEECH 2011: 2949-2952 - [c27]S. Thomas Christie, Serguei V. S. Pakhomov:
Prosody Toolkit: Integrating HTK, Praat and WEKA. INTERSPEECH 2011: 3321-3322 - 2010
- [c26]Genevieve B. Melton, Sungrim Moon, Bridget T. McInnes, Serguei Pakhomov:
Automated Identification of Synonyms in Biomedical Acronym Sense Inventories. Louhi@NAACL-HLT 2010: 46-52 - 2009
- [c25]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 - 2008
- [c24]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 - [c23]Serguei V. S. Pakhomov, Jayson Richardson, Matt Finholt-Daniel, Gregory Sales:
Forced-Alignment and Edit-Distance Scoring for Vocabulary Tutoring Applications. TSD 2008: 443-450 - 2007
- [c22]Bridget T. McInnes, Ted Pedersen, Serguei Pakhomov:
Determining the Syntactic Structure of Medical Terms in Clinical Notes. BioNLP@ACL 2007: 9-16 - 2006
- [c21]Mahesh Joshi, Ted Pedersen, Richard Maclin, Serguei V. S. Pakhomov:
Kernel Methods for Word Sense Disambiguation and Acronym Expansion. AAAI 2006: 1879-1880 - [c20]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: 1941-1942 - [c19]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 - [c18]Serguei V. S. Pakhomov, Christopher G. Chute:
A Hybrid Approach to Determining Modification of Clinical Diagnoses. AMIA 2006 - 2005
- [c17]Shana Watters, Brian McInnes, David McKoskey, Timothy A. Miller, Daniel Boley, Maria L. Gini, William Schuler, A. Polukeyeva, Jeanette K. Gundel, Sergey V. Pakhomov, Guergana Savova:
Using Volunteers to Annotate Biomedical Corpora for Anaphora Resolution. AAAI Spring Symposium: Knowledge Collection from Volunteer Contributors 2005: 117- - [c16]Serguei V. S. Pakhomov, James D. Buntrock, Patrick H. Duffy:
High Throughput Modularized NLP System for Clinical Text. ACL 2005: 25-28 - [c15]Yacov Kogan, Nigel Collier, Serguei V. S. Pakhomov, Michael Krauthammer:
Towards Semantic Role Labeling & IE in the Medical Literature. AMIA 2005 - [c14]Serguei Pakhomov, Ted Pedersen, Christopher G. Chute:
Abbreviation and Acronym Disambiguation in Clinical Discourse. AMIA 2005 - [c13]Thomas C. Rindflesch, Serguei Pakhomov, Marcelo Fiszman, Halil Kilicoglu, Vincent R. Sánchez:
Medical Facts to Support Inferencing in Natural Language Processing. AMIA 2005 - [c12]Guergana Savova, Marcelline R. Harris, Serguei Pakhomov, Christopher G. Chute:
Frame Semantics and the Domain of Functioning, Disability and Health. AMIA 2005 - 2004
- [c11]Serguei Pakhomov, Anni Coden, Christopher G. Chute:
Creating a Test Corpus of Clinical Notes Manually Tagged for Part-of-Speech Information. NLPBA/BioNLP 2004 - [c10]Serguei V. S. Pakhomov, James D. Buntrock, Christopher G. Chute:
Using Compund Codes for Automatic Classification of Clinical Diagnoses. MedInfo 2004: 411-415 - [c9]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: 434-438 - 2003
- [c8]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 - [c7]Sergey V. Pakhomov, James D. Buntrock, Christopher G. Chute:
Identification of Patients with Congestive Heart Failure using a Binary Classifier: A Case Study. BioNLP@ACL 2003: 89-96 - [c6]Olivier Bodenreider, Sergey V. Pakhomov:
Exploring Adjectival Modification in Biomedical Discourse Across Two Genres. BioNLP@ACL 2003: 105-112 - 2002
- [c5]Sergey V. Pakhomov:
Semi-Supervised Maximum Entropy Based Approach to Acronym and Abbreviation Normalization in Medical Texts. ACL 2002: 160-167 - [c4]Serguei V. S. Pakhomov, Alexander Ruggieri, Christopher G. Chute:
Maximum entropy modeling for mining patient medication status from free text. AMIA 2002 - 2001
- [c3]Sergey V. Pakhomov, Michael Schonwetter, Joan Bachenko:
Generating Training Data for Medical Dictations. NAACL 2001 - 2000
- [c2]Guergana Savova, Michael Schonwetter, Sergey V. Pakhomov:
Improving language model perplexity and recognition accuracy for medical dictations via within-domain interpolation with literal and semi-literal corpora. INTERSPEECH 2000: 206-209 - 1999
- [c1]Sergey V. Pakhomov:
Modeling Filled Pauses in Medical Dictations. ACL 1999: 619-624
Parts in Books or Collections
- 2020
- [p1]Joan Zheng, Raymond L. Finzel, Serguei Pakhomov, Maria L. Gini:
Spoken Dialogue Systems for Medication Management. Precision Health and Medicine 2020: 119-127
Editorship
- 2020
- [e1]Denis Newman-Griffis, Serguei V. S. Pakhomov, Suzanne Tamang, Ayah Zirikly, Bart Desmet, Hongfang Liu, Junichi Tsujii:
Proceedings of the First Workshop on Artificial Intelligence for Function, Disability, and Health co-located with the 2020 International Joint Conference on Artificial Intelligence - Pacific Rim Conference on Artificial Intelligence (IJCAI-PRICAI 2020), Online, January 7-8, 2021. CEUR Workshop Proceedings 2760, CEUR-WS.org 2020 [contents]
Informal and Other Publications
- 2024
- [i12]Changye Li, Weizhe Xu, Trevor Cohen, Serguei Pakhomov:
Useful Blunders: Can Automated Speech Recognition Errors Improve Downstream Dementia Classification? CoRR abs/2401.05551 (2024) - [i11]Changye Li, Zhecheng Sheng, Trevor Cohen, Serguei Pakhomov:
Too Big to Fail: Larger Language Models are Disproportionately Resilient to Induction of Dementia-Related Linguistic Anomalies. CoRR abs/2406.02830 (2024) - [i10]Changye Li, Trevor Cohen, Serguei Pakhomov:
Reexamining Racial Disparities in Automatic Speech Recognition Performance: The Role of Confounding by Provenance. CoRR abs/2407.13982 (2024) - 2023
- [i9]Changye Li, Trevor Cohen, Martin Michalowski, Serguei Pakhomov:
TRESTLE: Toolkit for Reproducible Execution of Speech, Text and Language Experiments. CoRR abs/2302.07322 (2023) - [i8]Zhecheng Sheng, Raymond L. Finzel, Michael Lucke, Sheena Dufresne, Maria L. Gini, Serguei Pakhomov:
A Dialogue System for Assessing Activities of Daily Living: Improving Consistency with Grounded Knowledge. CoRR abs/2307.07544 (2023) - [i7]Xiruo Ding, Zhecheng Sheng, Meliha Yetisgen, Serguei Pakhomov, Trevor Cohen:
Backdoor Adjustment of Confounding by Provenance for Robust Text Classification of Multi-institutional Clinical Notes. CoRR abs/2310.02451 (2023) - [i6]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 abs/2312.05435 (2023) - 2022
- [i5]Changye Li, David S. Knopman, Weizhe Xu, Trevor Cohen, Serguei Pakhomov:
GPT-D: Inducing Dementia-related Linguistic Anomalies by Deliberate Degradation of Artificial Neural Language Models. CoRR abs/2203.13397 (2022) - [i4]Changye Li, Trevor Cohen, Serguei Pakhomov:
The Far Side of Failure: Investigating the Impact of Speech Recognition Errors on Subsequent Dementia Classification. CoRR abs/2211.07430 (2022) - 2021
- [i3]Esha Singh, Anusha Bompelli, Ruyuan Wan, Jiang Bian, Serguei Pakhomov, Rui Zhang:
A Conversational Agent System for Dietary Supplements Use. CoRR abs/2104.01543 (2021) - [i2]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 abs/2108.02255 (2021) - 2020
- [i1]Trevor Cohen, Serguei Pakhomov:
A Tale of Two Perplexities: Sensitivity of Neural Language Models to Lexical Retrieval Deficits in Dementia of the Alzheimer's Type. CoRR abs/2005.03593 (2020)
Coauthor Index
Elizabeth Lindemann
aka: Elizabeth A. Lindemann
aka: Elizabeth A. Lindemann
Genevieve B. Melton
aka: Genevieve Melton-Meaux
aka: Genevieve Melton-Meaux
[j26] [j23] [j20] [j19] [j18] [j17] [j13] [j12] [j10] [j9] [j8] [j7] [c78] [c76] [c70] [c69] [c68] [c66] [c65] [c64] [c63] [c62] [c61] [c59] [c58] [c57] [c56] [c55] [c54] [c53] [c52] [c51] [c50] [c49] [c48] [c47] [c46] [c45] [c42] [c41] [c40] [c39] [c38] [c37] [c36] [c35] [c34] [c33] [c32] [c29] [c26] [i2]
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