Shyam Visweswaran

University of Pittsburgh — United States

Computer Science · Physical Sciences

36h-index7.0kcitations309works15.72yr avg
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Research Topics

Machine Learning in Healthcare(58), Bayesian Modeling and Causal Inference(31), Biomedical Text Mining and Ontologies(30), Gene expression and cancer classification(28), Bioinformatics and Genomic Networks(28)

Publications304 total

Orchestrator Multi-Agent Clinical Decision Support System for Secondary Headache Diagnosis in Primary Care
arXiv (Cornell University)·2025Open Access
Mammo-FM: Breast-specific foundational model for Integrated Mammographic Diagnosis, Prognosis, and Reporting
arXiv (Cornell University)·2025Open Access
Knowledge Graph-Guided Identification of Multiple Sclerosis and Therapeutic Trend Analysis: Real-World Evidence from Two Large Healthcare Systems
2025· 1 citedOpen Access
A Deep Lightweight Convolutional Neural Network for Detecting Artifacts in Continuous EEG Signals
2025Open Access
Correction: Neurological diagnoses in hospitalized COVID-19 patients associated with adverse outcomes: A multinational cohort study
PLOS Digital Health·2025Open Access
In defense of empathic informatics
Journal of the American Medical Informatics Association·2025· 1 citedOpen Access
Label efficient phenotyping for Long COVID using electronic health records
npj Digital Medicine·2025· 3 citedOpen Access
Mitigating the risk of health inequity exacerbated by large language models
npj Digital Medicine·2025· 19 citedOpen Access
Leveraging electronic health records to examine differential clinical outcomes in people with Alzheimer’s Disease
2025Open Access
A resource for Logical Observation Identifiers Names and Codes terms that may be associated with identifying information
Journal of the American Medical Informatics Association·2025
Post Induction Hypotension prediction during general anesthesia using Machine Learning Techniques
2025Open Access
A Transformer-Based Framework for Counterfactual Estimation of Antihypertensive Treatment Effect on COVID-19 Infection Risk - A Proof-of-Concept Study
American Journal of Hypertension·2025Open Access
Online database of clinical algorithms with race and ethnicity
Scientific Reports·2025· 6 citedOpen Access
Machine Learning Predicts Bleeding Risk in Atrial Fibrillation Patients on Direct Oral Anticoagulant
The American Journal of Cardiology·2025· 7 citedOpen Access
Predicting Postoperative Delirium Using Intraoperative Neuromonitoring in Patients Undergoing Craniotomy for Aneurysm Clipping Surgery
European Neurology·2025· 1 cited
Subtyping Social Determinants of Health in the "All of Us" Program: Network Analysis and Visualization Study
Journal of Medical Internet Research·2025Open Access
The National COVID Cohort Collaborative (N3C): Rationale, design, infrastructure, and deployment
UNC Libraries·2025Open Access
Understanding Data Differences across the ENACT Federated Research Network
2025Open Access
LADDER: Language-Driven Slice Discovery and Error Rectification in Vision Classifiers
2025Open Access
Stratification of Alzheimer’s Disease Patients Using Knowledge-Guided Unsupervised Latent Factor Clustering with Electronic Health Record Data
2024· 1 citedOpen Access
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Frequent Co-authors

Gregory F. Cooper(11), Paul Avillach(11), Michele Morris(10), David A. Hanauer(9), Riccardo Bellazzi(9), Griffin M. Weber(8), Gabriel A. Brat(8), Yuan Luo(8), Zongqi Xia(8), Gilbert S. Omenn(8), Shawn N. Murphy(7), Alba Gutiérrez‐Sacristán(7), Arianna Dagliati(7), Luca Chiovato(7), Malarkodi Jebathilagam Samayamuthu(7), Tianxi Cai(7), Hossein Estiri(7), Jeffrey G. Klann(6), Amelia L.M. Tan(6), Bertrand Moal(6)