Detecting Adverse Drug Events in Discharge Summaries Using Variations on the Simple Bayes Model. - Shyam Visweswaran; Paul Hanbury; Melissa I. Saul; Gregory F. Cooper (AMIA, 2003)

Instance-Specific Bayesian Model Averaging for Classification. - Shyam Visweswaran; Gregory F. Cooper (NIPS, 2004)

Deriving the Expected Utility of a Predictive Model When the Utilities Are Uncertain. - Gregory F. Cooper; Shyam Visweswaran (AMIA, 2005)

Patient-Specific Models for Predicting the Outcomes of Patients with Community Acquired Pneumonia. - Shyam Visweswaran; Gregory F. Cooper (AMIA, 2005)

Evidence-based Anomaly Detection in Clinical Domains. - Milos Hauskrecht; Michal Valko; Branislav Kveton; Shyam Visweswaran; Gregory F. Cooper (AMIA, 2007)

Assessing the Performance Characteristics of Signals Used by a Clinical Event Monitor to Detect Adverse Drug Reactions in the Nursing Home. - Steven M. Handler; Joseph T. Hanlon; Subashan Perera; Melissa I. Saul; Douglas B. Fridsma; Shyam Visweswaran; Stephanie A. Studenski; Yazan F. Roumani; Nicholas G. Castle; David A. Nace; Michael J. Becich (AMIA, 2008)

Improving Classification Performance with Discretization on Biomedical Datasets. - Jonathan L. Lustgarten; Vanathi Gopalakrishnan; Himanshu Grover; Shyam Visweswaran (AMIA, 2008)

Analysis of a Failed Clinical Decision Support System for Management of Congestive Heart Failure. - Rajiv Wadhwa; Douglas B. Fridsma; Melissa I. Saul; Louis E. Penrod; Shyam Visweswaran; Gregory F. Cooper; Wendy W. Chapman (AMIA, 2008)

Improving Peptide Identification via Validation with Intensity-based Modeling of Tandem Mass Spectra. - Himanshu Grover; Jonathan L. Lustgarten; Shyam Visweswaran; Vanathi Gopalakrishnan (BCBGC, 2008)

An Evaluation of Discretization Methods for Learning Rules from Biomedical Datasets. - Jonathan L. Lustgarten; Shyam Visweswaran; Himanshu Grover; Vanathi Gopalakrishnan (BIOCOMP, 2008)

Measuring Stability of Feature Selection in Biomedical Datasets. - Jonathan L. Lustgarten; Vanathi Gopalakrishnan; Shyam Visweswaran (AMIA, 2009)

A Bayesian Method for Identifying Genetic Interactions. - Shyam Visweswaran; An-Kwok Ian Wong; M. Michael Barmada (AMIA, 2009)

Document Retrieval using a Probabilistic Knowledge Model. - Shuguang Wang; Shyam Visweswaran; Milos Hauskrecht (KDIR, 2009)

Knowledge-based variable selection for learning rules from proteomic data. - Jonathan L. Lustgarten; Shyam Visweswaran; Robert P. Bowser; William R. Hogan; Vanathi Gopalakrishnan (BMC Bioinform., 2009)

Bayesian rule learning for biomedical data mining. - Vanathi Gopalakrishnan; Jonathan L. Lustgarten; Shyam Visweswaran; Gregory F. Cooper (Bioinform., 2010)

Learning patient-specific predictive models from clinical data. - Shyam Visweswaran; Derek C. Angus; Margaret Hsieh; Lisa A. Weissfeld; Donald Yealy; Gregory F. Cooper (J. Biomed. Informatics, 2010)

Learning Instance-Specific Predictive Models. - Shyam Visweswaran; Gregory F. Cooper (J. Mach. Learn. Res., 2010)

Learning genetic epistasis using Bayesian network scoring criteria. - Xia Jiang; Richard E. Neapolitan; M. Michael Barmada; Shyam Visweswaran (BMC Bioinform., 2011)

Application of an efficient Bayesian discretization method to biomedical data. - Jonathan L. Lustgarten; Shyam Visweswaran; Vanathi Gopalakrishnan; Gregory F. Cooper (BMC Bioinform., 2011)

Computerized detection of adverse drug reactions in the medical intensive care unit. - Sandra L. Kane-Gill; Shyam Visweswaran; Melissa I. Saul; An-Kwok Ian Wong; Louis E. Penrod; Steven M. Handler (Int. J. Medical Informatics, 2011)

The application of naive Bayes model averaging to predict Alzheimer's disease from genome-wide data. - Wei Wei; Shyam Visweswaran; Gregory F. Cooper (J. Am. Medical Informatics Assoc., 2011)

Network Label Propagation Yields Reproducible Biomarker SNPs in Alzheimer's Datasets. - Matthew E. Stokes; Shyam Visweswaran (AMIA, 2012)

A multivariate probabilistic method for comparing two clinical datasets. - Yuriy Sverchkov; Shyam Visweswaran; Gilles Clermont; Milos Hauskrecht; Gregory F. Cooper (IHI, 2012)

Application of a spatially-weighted Relief algorithm for ranking genetic predictors of disease. - Matthew E. Stokes; Shyam Visweswaran (BioData Min., 2012)

The role of complementary bipartite visual analytical representations in the analysis of SNPs: a case study in ancestral informative markers. - Suresh K. Bhavnani; Gowtham Bellala; Sundar Victor; Kevin E. Bassler; Shyam Visweswaran (J. Am. Medical Informatics Assoc., 2012)

Building an automated SOAP classifier for emergency department reports. - Danielle L. Mowery; Janyce Wiebe; Shyam Visweswaran; Henk Harkema; Wendy Webber Chapman (J. Biomed. Informatics, 2012)

Conditional Outlier Approach for Detection of Unusual Patient Care Actions. - Milos Hauskrecht; Shyam Visweswaran; Gregory F. Cooper; Gilles Clermont (AAAI (Late-Breaking Developments), 2013)

Decision Path Models for Patient-Specific Modeling of Patient Outcomes. - Antonio Luiz S. Ferreira; Gregory F. Cooper; Shyam Visweswaran (AMIA, 2013)

Data-driven identification of unusual clinical actions in the ICU. - Milos Hauskrecht; Shyam Visweswaran; Gregory F. Cooper; Gilles Clermont (AMIA, 2013)

Deep Multiple Kernel Learning. - Eric V. Strobl; Shyam Visweswaran (ICMLA (1), 2013)

Outlier detection for patient monitoring and alerting. - Milos Hauskrecht; Iyad Batal; Michal Valko; Shyam Visweswaran; Gregory F. Cooper; Gilles Clermont (J. Biomed. Informatics, 2013)

Identifying genetic interactions associated with late-onset Alzheimer's disease. - Charalampos S. Floudas; Nara Um; M. Kamboh; M. Michael Barmada; Shyam Visweswaran (BioData Min., 2014)

Markov Blanket Ranking using Kernel-based Conditional Dependence Measures. - Eric V. Strobl; Shyam Visweswaran (CoRR, 2014)

Dependence versus Conditional Dependence in Local Causal Discovery from Gene Expression Data. - Eric V. Strobl; Shyam Visweswaran (CoRR, 2014)

Counting Markov Blanket Structures. - Shyam Visweswaran; Gregory F. Cooper (CoRR, 2014)

Semi-automated literature mining to identify putative biomarkers of disease from multiple biofluids. - Rick Jordan; Shyam Visweswaran; Vanathi Gopalakrishnan (J. Clin. Bioinform., 2014)

Development and Preliminary Evaluation of a Prototype of a Learning Electronic Medical Record System. - Andrew J. King; Gregory F. Cooper; Harry Hochheiser; Gilles Clermont; Shyam Visweswaran (AMIA, 2015)

Patient-Specific Modeling of Medical Data. - Guilherme Alberto Sousa Ribeiro; Alexandre César Muniz de Oliveira; Antonio Luiz S. Ferreira; Shyam Visweswaran; Gregory F. Cooper (MLDM, 2015)

Knowledge transfer via classification rules using functional mapping for integrative modeling of gene expression data. - Henry Ogoe; Shyam Visweswaran; Xinghua Lu 001; Vanathi Gopalakrishnan (BMC Bioinform., 2015)

Comparison of machine learning classifiers for influenza detection from emergency department free-text reports. - Arturo López Pineda; Ye Ye 002; Shyam Visweswaran; Gregory F. Cooper; Michael M. Wagner 001; Fuchiang (Rich) Tsui (J. Biomed. Informatics, 2015)

An informatics research agenda to support precision medicine: seven key areas. - Jessica D. Tenenbaum; Paul Avillach; Marge M. Benham-Hutchins; Matthew K. Breitenstein; Erin L. Crowgey; Mark A. Hoffman; Xia Jiang; Subha Madhavan; John E. Mattison; Radhakrishnan Nagarajan; Bisakha Ray; Dmitriy Shin; et al. (J. Am. Medical Informatics Assoc., 2016)

Outlier-based detection of unusual patient-management actions: An ICU study. - Milos Hauskrecht; Iyad Batal; Charmgil Hong; Quang Nguyen; Gregory F. Cooper; Shyam Visweswaran; Gilles Clermont (J. Biomed. Informatics, 2016)

Vicinity Exploration: Enabling User-Driven Visual Search of Multiple Machine Learning Models for Precision Medicine. - Suresh K. Bhavnani; Archana Ayyaswami; Tianlong Chen 004; Shyam Visweswaran; Gowtham Bellala; Kevin E. Bassler (AMIA, 2017)

Exploring Novel Graphical Representations of Clinical Data in a Learning EMR. - Luca Calzoni; Gilles Clermont; Gregory F. Cooper; Shyam Visweswaran; Harry Hochheiser (AMIA, 2017)

Eye-tracking for clinical decision support: A method to capture automatically what physicians are viewing in the EMR. - Andrew J. King; Harry Hochheiser; Shyam Visweswaran; Gilles Clermont; Gregory F. Cooper (CRI, 2017)

The Building Blocks of Inter-operability. - Adam Culbertson; Satyender Goel; Margaret B. Madden; Niloufar Safaeinili; Kathryn L. Jackson; Thomas Carton; Russ Waitman; Mei Liu; Ashok Krishnamurthy; Lauren Hall; Nickie Cappella; Shyam Visweswaran; et al. (Appl. Clin. Inform., 2017)

Learning Parsimonious Classification Rules from Gene Expression Data Using Bayesian Networks with Local Structure. - Jonathan L. Lustgarten; Jeya Balaji Balasubramanian; Shyam Visweswaran; Vanathi Gopalakrishnan (Data, 2017)

Automated annotation and classification of BI-RADS assessment from radiology reports. - Sergio M. Castro; Eugene Tseytlin; Olga Medvedeva; Kevin J. Mitchell; Shyam Visweswaran; Tanja Bekhuis; Rebecca S. Jacobson (J. Biomed. Informatics, 2017)

Utility of Visual Analytics for Identifying Patient Subgroups in EMRs: Insights for Accelerating Precision Medicine. - Suresh K. Bhavnani; Revathi Sellappan; Saurabh Joshi; Jonathan Starkey; Winston Chan; Tianlong Chen 004; Shyam Visweswaran (AMIA, 2018)

Software Package to Load Data from REDCap to PCORnet CDM 4.0. - Charles D. Borromeo; Bill Shirey; Nickie Cappella; Shyam Visweswaran; Jonathan C. Silverstein; Michael J. Becich (AMIA, 2018)

Workflow for Developing i2b2 Ontologies from Source Terminologies in ACT. - Charles D. Borromeo; Bill Shirey; Michele Morris; Yu Zhang; Malarkodi J. Samayamuthu; Shyam Visweswaran (AMIA, 2018)

Design of a Learning Electronic Medical Record: A Qualitative Study of ICU Clinicians' Information Needs and Practices. - Luca Calzoni; Gilles Clermont; Gregory F. Cooper; Shyam Visweswaran; Harry Hochheiser (AMIA, 2018)

Using Machine Learning to Predict the Information Seeking Behavior of Clinicians Using an Electronic Medical Record System. - Andrew J. King; Gregory F. Cooper; Harry Hochheiser; Gilles Clermont; Milos Hauskrecht; Shyam Visweswaran (AMIA, 2018)

Social Context Sentence Classification from Psychiatric Reports using Positive and Unlabeled Learning. - José D. Posada; Lingyun Shi; Sergio M. Castro; Shyam Visweswaran; Neal D. Ryan; Henk Harkema; Rich Tsui (AMIA, 2018)

A Computable Phenotype Library Plugin for i2b2. - Yu Zhang; Michele Morris; Shyam Visweswaran (AMIA, 2018)

An Interactive NLP Tool for Signout Note Preparation. - Gaurav Trivedi; Robert M. Handzel; Shyam Visweswaran; Wendy W. Chapman; Harry Hochheiser (ICHI, 2018)

Instance-Specific Bayesian Network Structure Learning. - Fattaneh Jabbari; Shyam Visweswaran; Gregory F. Cooper (PGM, 2018)

Fast causal inference with non-random missingness by test-wise deletion. - Eric V. Strobl; Shyam Visweswaran; Peter L. Spirtes (Int. J. Data Sci. Anal., 2018)

Markov Blanket Ranking Using Kernel-Based Conditional Dependence Measures. - Eric V. Strobl; Shyam Visweswaran (Cause Effect Pairs in Machine Learning, 2019)

Team-Centered Informatics: A Necessary Adaptation to Translational and Implementation Science? - Suresh K. Bhavnani; Shyam Visweswaran; Erich Kummerfeld; Carlos Clark; Rebekah Penton (AMIA, 2019)

Insights from a dissertation on the development of a Learning Electronic Medical Record System: data-driven, context-aware learning. - Andrew J. King; Shyam Visweswaran; Harry Hochheiser; Gilles Clermont; Gregory F. Cooper (AMIA, 2019)

Curating EHR data in the All of Us Research Program. - Karthik Natarajan; Robert J. Carroll; Thomas R. Campion Jr.; Joan Grand; Shyam Visweswaran (AMIA, 2019)

An Empirical Investigation of Instance-Specific Causal Bayesian Network Learning. - Fattaneh Jabbari; Shyam Visweswaran; Gregory F. Cooper (BIBM, 2019)

Interactive NLP in Clinical Care: Identifying Incidental Findings in Radiology Reports. - Gaurav Trivedi; Esmaeel R. Dadashzadeh; Robert M. Handzel; Wendy W. Chapman; Shyam Visweswaran; Harry Hochheiser (Appl. Clin. Inform., 2019)

Translational bioinformatics in mental health: open access data sources and computational biomarker discovery. - Jessica D. Tenenbaum; Krithika Bhuvaneshwar; Jane P. Gagliardi; Kate Fultz Hollis; Peilin Jia; Liang Ma; Radhakrishnan Nagarajan; Gopalkumar Rakesh; Vignesh Subbian; Shyam Visweswaran; Zhongming Zhao; Leon Rozenblit (Briefings Bioinform., 2019)

Identifying incidental findings from radiology reports of trauma patients: An evaluation of automated feature representation methods. - Gaurav Trivedi; Charmgil Hong; Esmaeel R. Dadashzadeh; Robert M. Handzel; Harry Hochheiser; Shyam Visweswaran (Int. J. Medical Informatics, 2019)

Using machine learning to selectively highlight patient information. - Andrew J. King; Gregory F. Cooper; Gilles Clermont; Harry Hochheiser; Milos Hauskrecht; Dean F. Sittig; Shyam Visweswaran (J. Biomed. Informatics, 2019)

Estimating and Controlling the False Discovery Rate of the PC Algorithm Using Edge-specific P-Values. - Eric V. Strobl; Peter L. Spirtes; Shyam Visweswaran (ACM Trans. Intell. Syst. Technol., 2019)

Patient-Specific Modeling with Personalized Decision Paths. - Adriana Johnson; Gregory F. Cooper; Shyam Visweswaran (AMIA, 2020)

Graphical Presentations of Clinical Data in a Learning Electronic Medical Record. - Luca Calzoni; Gilles Clermont; Gregory F. Cooper; Shyam Visweswaran; Harry Hochheiser (Appl. Clin. Inform., 2020)

Semi-supervised Hierarchical Drug Embedding in Hyperbolic Space. - Ke Yu; Shyam Visweswaran; Kayhan Batmanghelich (J. Chem. Inf. Model., 2020)

Using Distribution Divergence to Predict Changes in the Performance of Clinical Predictive Models. - Mohammadamin Tajgardoon; Shyam Visweswaran (AIME, 2021)

Comparison of Population-wide Explanations for Predicting the Outcomes of Patients with Community-Acquired Pneumonia. - Eddie Pérez Claudio; Shyam Visweswaran; Harry Hochheiser (AMIA, 2021)

Patient-Specific Modeling with Lazy Random Forest (LazyRF). - Adriana Johnson; Gregory F. Cooper; Shyam Visweswaran (AMIA, 2021)

Dirac Delta Regression: Conditional Density Estimation with Clinical Trials. - Eric V. Strobl; Shyam Visweswaran (CD@KDD, 2021)

A Novel Personalized Random Forest Algorithm for Clinical Outcome Prediction. - Adriana Johnson; Gregory F. Cooper; Shyam Visweswaran (MedInfo, 2021)

Use, Impact, Weaknesses, and Advanced Features of Search Functions for Clinical Use in Electronic Health Records: A Scoping Review. - Jordan R. Hill; Shyam Visweswaran; Xia Ning; Titus K. Schleyer (Appl. Clin. Inform., 2021)

The National COVID Cohort Collaborative (N3C): Rationale, design, infrastructure, and deployment. - Melissa A. Haendel; Christopher G. Chute; Tellen D. Bennett; David A. Eichmann; Justin Guinney; Warren A. Kibbe; Philip R. O. Payne; Emily R. Pfaff; Peter N. Robinson; Joel H. Saltz; Heidi Spratt; Christine Suver; et al. (J. Am. Medical Informatics Assoc., 2021)

Validation of an internationally derived patient severity phenotype to support COVID-19 analytics from electronic health record data. - Jeffrey G. Klann; Hossein Estiri; Griffin M. Weber; Bertrand Moal; Paul Avillach; Chuan Hong; Amelia L. M. Tan; Brett K. Beaulieu-Jones; Victor M. Castro; Thomas Maulhardt; Alon Geva; Alberto Malovini; et al. (J. Am. Medical Informatics Assoc., 2021)

Predicting outcomes in central venous catheter salvage in pediatric central line-associated bloodstream infection. - Lorne W. Walker; Andrew J. Nowalk; Shyam Visweswaran (J. Am. Medical Informatics Assoc., 2021)

Bayesian network models with decision tree analysis for management of childhood malaria in Malawi. - Sanya Bathla Taneja; Gerald P. Douglas; Gregory F. Cooper; Marian G. Michaels; Marek J. Druzdzel; Shyam Visweswaran (BMC Medical Informatics Decis. Mak., 2021)

Delivering Real World Patient Data for Clinical and Translational Research: Approaches from Four Institutions. - Christopher A. Harle; Daniella Meeker; Shyam Visweswaran; Thomas R. Campion Jr.; Boyd M. Knosp (AMIA, 2022)

Developing and Evaluation of Computational Phenotypes of Metastatic Breast Cancer Using All of Us Data. - Chenyu Li; Israel Dilan-Pantojas; Shyam Visweswaran; Michael J. Becich; Xia Jiang; Richard D. Boyce (AMIA, 2022)

Extraction of Sleep Information from Clinical Notes of Alzheimer's Disease Patients Using Natural Language Processing. - Haneef Ahamed Mohammad; Sonish Sivarajkumar; Samual Viggiano; David Oniani; Shyam Visweswaran; Yanshan Wang (CoRR, 2022)

Hyperbolic Molecular Representation Learning for Drug Repositioning. - Ke Yu; Shyam Visweswaran; Kayhan Batmanghelich (CoRR, 2022)

Research data warehouse best practices: catalyzing national data sharing through informatics innovation. - Shawn N. Murphy; Shyam Visweswaran; Michael J. Becich; Thomas R. Campion Jr.; Boyd M. Knosp; Genevieve Melton-Meaux; Leslie A. Lenert (J. Am. Medical Informatics Assoc., 2022)

Synergies between centralized and federated approaches to data quality: a report from the national COVID cohort collaborative. - Emily R. Pfaff; Andrew T. Girvin; Davera Gabriel; Kristin Kostka; Michele Morris; Matvey B. Palchuk; Harold P. Lehmann; Benjamin R. C. Amor; Mark Bissell; Katie R. Bradwell; Sigfried Gold; Stephanie S. Hong; et al. (J. Am. Medical Informatics Assoc., 2022)

An atomic approach to the design and implementation of a research data warehouse. - Shyam Visweswaran; Brian McLay; Nickie Cappella; Michele Morris; John T. Milnes; Steven E. Reis; Jonathan C. Silverstein; Michael J. Becich (J. Am. Medical Informatics Assoc., 2022)

SurvMaximin: Robust federated approach to transporting survival risk prediction models. - Xuan Wang; Harrison G. Zhang; Xin Xiong; Chuan Hong; Griffin M. Weber; Gabriel A. Brat; Clara-Lea Bonzel; Yuan Luo 001; Rui Duan 004; Nathan P. Palmer; Meghan R. Hutch; Alba Gutiérrez-Sacristán; et al. (J. Biomed. Informatics, 2022)

International electronic health record-derived post-acute sequelae profiles of COVID-19 patients. - Harrison G. Zhang; Arianna Dagliati; Zahra Shakeri Hossein Abad; Xin Xiong; Clara-Lea Bonzel; Zongqi Xia; Bryce W. Q. Tan; Paul Avillach; Gabriel A. Brat; Chuan Hong; Michele Morris; Shyam Visweswaran; et al. (npj Digit. Medicine, 2022)

Time-Series Aware Metrics for the Evaluation of Intraoperative Electroencephalography-Based Ischemia Detection. - Amir I. Mina; Jeremy U. Espino; Allison M. Bradley; Parthasarathy Thirumala; Kayhan Batmanghelich; Shyam Visweswaran (MedInfo, 2023)

Extracting Physical Rehabilitation Exercise Information from Clinical Notes: a Comparison of Rule-Based and Machine Learning Natural Language Processing Techniques. - Stephen W. Shaffran; Fengyi Gao; Parker E. Denny; Bayan M. Aldhahwani; Allyn Bove; Shyam Visweswaran; Yanshan Wang (CoRR, 2023)

An Empirical Evaluation of Prompting Strategies for Large Language Models in Zero-Shot Clinical Natural Language Processing. - Sonish Sivarajkumar; Mark Kelley; Alyssa Samolyk-Mazzanti; Shyam Visweswaran; Yanshan Wang (CoRR, 2023)

MedSyn: Text-guided Anatomy-aware Synthesis of High-Fidelity 3D CT Images. - Yanwu Xu 003; Li Sun 010; Wei Peng 009; Shyam Visweswaran; Kayhan Batmanghelich (CoRR, 2023)

Informative missingness: What can we learn from patterns in missing laboratory data in the electronic health record? - Amelia L. M. Tan; Emily J. Getzen; Meghan R. Hutch; Zachary H. Strasser; Alba Gutiérrez-Sacristán; Trang T. Le; Arianna Dagliati; Michele Morris; David A. Hanauer; Bertrand Moal; Clara-Lea Bonzel; William Yuan; et al. (J. Biomed. Informatics, 2023)

A new method for estimating the probability of causal relationships from observational data: Application to the study of the short-term effects of air pollution on cardiovascular and respiratory disease. - Bryan Andrews; Chirayu Wongchokprasitti; Shyam Visweswaran; Chirag M. Lakhani; Chirag J. Patel; Gregory F. Cooper (Artif. Intell. Medicine, 2023)

Special issue on fairness and inclusion in biomedical informatics research: technical and social perspectives. - Shyam Visweswaran; Yuan Luo 001; Mor Peleg (J. Biomed. Informatics, 2023)

ReDWINE: A clinical datamart with text analytical capabilities to facilitate rehabilitation research. - David Oniani; Bambang Parmanto; Andi Saptono; Allyn Bove; Janet Freburger; Shyam Visweswaran; Nickie Cappella; Brian McLay; Jonathan C. Silverstein; Michael J. Becich; Anthony Delitto; Elizabeth Skidmore; et al. (Int. J. Medical Informatics, 2023)

A broadly applicable approach to enrich electronic-health-record cohorts by identifying patients with complete data: a multisite evaluation. - Jeffrey G. Klann; Darren W. Henderson; Michele Morris; Hossein Estiri; Griffin M. Weber; Shyam Visweswaran; Shawn N. Murphy (J. Am. Medical Informatics Assoc., 2023)

Enhancing Large Language Models for Clinical Decision Support by Incorporating Clinical Practice Guidelines. - David Oniani; Xizhi Wu; Shyam Visweswaran; Sumit Kapoor; Shravan Kooragayalu; Katelyn Polanska; Yanshan Wang (ICHI, 2024)

Mammo-CLIP: A Vision Language Foundation Model to Enhance Data Efficiency and Robustness in Mammography. - Shantanu Ghosh; Clare B. Poynton; Shyam Visweswaran; Kayhan Batmanghelich (MICCAI (12), 2024)

A Literature Review and Framework for Human Evaluation of Generative Large Language Models in Healthcare. - Thomas Yu Chow Tam; Sonish Sivarajkumar; Sumit Kapoor; Alisa V. Stolyar; Katelyn Polanska; Karleigh R. McCarthy; Hunter Osterhoudt; Xizhi Wu; Shyam Visweswaran; Sunyang Fu; Piyush Mathur; Giovanni E. Cacciamani; et al. (CoRR, 2024)

Precision Rehabilitation for Patients Post-Stroke based on Electronic Health Records and Machine Learning. - Fengyi Gao; Xingyu Zhang; Sonish Sivarajkumar; Parker E. Denny; Bayan M. Aldhahwani; Shyam Visweswaran; Ryan Shi; William Hogan; Allyn Bove; Yanshan Wang (CoRR, 2024)

Towards cross-application model-agnostic federated cohort discovery. - Nicholas J. Dobbins; Michele Morris; Eugene Sadhu; Douglas MacFadden; Marc-Danie Nazaire; William Simons; Griffin M. Weber; Shawn N. Murphy; Shyam Visweswaran (J. Am. Medical Informatics Assoc., 2024)

Extraction of sleep information from clinical notes of Alzheimer's disease patients using natural language processing. - Sonish Sivarajkumar; Thomas Yu Chow Tam; Haneef Ahamed Mohammad; Samuel Viggiano; David Oniani; Shyam Visweswaran; Yanshan Wang (J. Am. Medical Informatics Assoc., 2024)

Fairness and inclusion methods for biomedical informatics research. - Shyam Visweswaran; Yuan Luo 001; Mor Peleg (J. Biomed. Informatics, 2024)

A framework for human evaluation of large language models in healthcare derived from literature review. - Thomas Yu Chow Tam; Sonish Sivarajkumar; Sumit Kapoor; Alisa V. Stolyar; Katelyn Polanska; Karleigh R. McCarthy; Hunter Osterhoudt; Xizhi Wu; Shyam Visweswaran; Sunyang Fu; Piyush Mathur; Giovanni E. Cacciamani; et al. (npj Digit. Medicine, 2024)

Clinical Information Retrieval: A Literature Review. - Sonish Sivarajkumar; Haneef Ahamed Mohammad; David Oniani; Kirk Roberts; William R. Hersh; Hongfang Liu; Daqing He; Shyam Visweswaran; Yanshan Wang (J. Heal. Informatics Res., 2024)

MedSyn: Text-Guided Anatomy-Aware Synthesis of High-Fidelity 3-D CT Images. - Yanwu Xu 003; Li Sun 010; Wei Peng 009; Shuyue Jia; Katelyn Morrison; Adam Perer; Afrooz Zandifar; Shyam Visweswaran; Motahhare Eslami; Kayhan Batmanghelich (IEEE Trans. Medical Imaging, 2024)

LADDER: Language-Driven Slice Discovery and Error Rectification in Vision Classifiers. - Shantanu Ghosh; Rayan Syed; Chenyu Wang; Vaibhav Choudhary; Binxu Li; Clare B. Poynton; Shyam Visweswaran; Kayhan Batmanghelich (ACL (Findings), 2025)

In defense of empathic informatics. - Harry Hochheiser; Shyam Visweswaran (J. Am. Medical Informatics Assoc., 2025)

A resource for Logical Observation Identifiers Names and Codes terms that may be associated with identifying information. - Mehdi Nourelahi; Eugene Mathew Sadhu; Malarkodi J. Samayamuthu; Shyam Visweswaran (J. Am. Medical Informatics Assoc., 2025)

Label efficient phenotyping for Long COVID using electronic health records. - Chuan Hong; Jun Wen; Harrison G. Zhang; Vidul Ayakulangara Panickan; Doris Yang; Alicia W. Chen; Xin Xiong; Xuan Wang; Michele Morris; Sara Morini; Rahul Sangar; Andrew Dey; et al. (npj Digit. Medicine, 2025)

Mitigating the risk of health inequity exacerbated by large language models. - Yuelyu Ji; Wenhe Ma; Sonish Sivarajkumar; Hang Zhang; Eugene Mathew Sadhu; Zhuochun Li; Xizhi Wu; Shyam Visweswaran; Yanshan Wang (npj Digit. Medicine, 2025)