Shyam Visweswaran

Orcid: 0000-0002-2079-8684

According to our database1, Shyam Visweswaran authored at least 100 papers between 2003 and 2024.

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Bibliography

2024
Enhancing Large Language Models for Clinical Decision Support by Incorporating Clinical Practice Guidelines.
CoRR, 2024

2023
A broadly applicable approach to enrich electronic-health-record cohorts by identifying patients with complete data: a multisite evaluation.
J. Am. Medical Informatics Assoc., November, 2023

ReDWINE: A clinical datamart with text analytical capabilities to facilitate rehabilitation research.
Int. J. Medical Informatics, September, 2023

Special issue on fairness and inclusion in biomedical informatics research: technical and social perspectives.
J. Biomed. Informatics, May, 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.
Artif. Intell. Medicine, May, 2023

Informative missingness: What can we learn from patterns in missing laboratory data in the electronic health record?
J. Biomed. Informatics, March, 2023

MedSyn: Text-guided Anatomy-aware Synthesis of High-Fidelity 3D CT Images.
CoRR, 2023

An Empirical Evaluation of Prompting Strategies for Large Language Models in Zero-Shot Clinical Natural Language Processing.
CoRR, 2023

Extracting Physical Rehabilitation Exercise Information from Clinical Notes: a Comparison of Rule-Based and Machine Learning Natural Language Processing Techniques.
CoRR, 2023

Time-Series Aware Metrics for the Evaluation of Intraoperative Electroencephalography-Based Ischemia Detection.
Proceedings of the MEDINFO 2023 - The Future Is Accessible, 2023

2022
International electronic health record-derived post-acute sequelae profiles of COVID-19 patients.
npj Digit. Medicine, 2022

SurvMaximin: Robust federated approach to transporting survival risk prediction models.
J. Biomed. Informatics, 2022

An atomic approach to the design and implementation of a research data warehouse.
J. Am. Medical Informatics Assoc., 2022

Synergies between centralized and federated approaches to data quality: a report from the national COVID cohort collaborative.
J. Am. Medical Informatics Assoc., 2022

Research data warehouse best practices: catalyzing national data sharing through informatics innovation.
J. Am. Medical Informatics Assoc., 2022

Hyperbolic Molecular Representation Learning for Drug Repositioning.
CoRR, 2022

Extraction of Sleep Information from Clinical Notes of Alzheimer's Disease Patients Using Natural Language Processing.
CoRR, 2022

Developing and Evaluation of Computational Phenotypes of Metastatic Breast Cancer Using All of Us Data.
Proceedings of the AMIA 2022, 2022

Delivering Real World Patient Data for Clinical and Translational Research: Approaches from Four Institutions.
Proceedings of the AMIA 2022, 2022

2021
Bayesian network models with decision tree analysis for management of childhood malaria in Malawi.
BMC Medical Informatics Decis. Mak., 2021

Predicting outcomes in central venous catheter salvage in pediatric central line-associated bloodstream infection.
J. Am. Medical Informatics Assoc., 2021

Validation of an internationally derived patient severity phenotype to support COVID-19 analytics from electronic health record data.
J. Am. Medical Informatics Assoc., 2021

The National COVID Cohort Collaborative (N3C): Rationale, design, infrastructure, and deployment.
J. Am. Medical Informatics Assoc., 2021

Use, Impact, Weaknesses, and Advanced Features of Search Functions for Clinical Use in Electronic Health Records: A Scoping Review.
Appl. Clin. Inform., 2021

A Novel Personalized Random Forest Algorithm for Clinical Outcome Prediction.
Proceedings of the MEDINFO 2021: One World, One Health - Global Partnership for Digital Innovation, 2021

Dirac Delta Regression: Conditional Density Estimation with Clinical Trials.
Proceedings of the KDD 2021 Workshop on Causal Discovery, 2021

Patient-Specific Modeling with Lazy Random Forest (LazyRF).
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

Comparison of Population-wide Explanations for Predicting the Outcomes of Patients with Community-Acquired Pneumonia.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

Using Distribution Divergence to Predict Changes in the Performance of Clinical Predictive Models.
Proceedings of the Artificial Intelligence in Medicine, 2021

2020
Semi-supervised Hierarchical Drug Embedding in Hyperbolic Space.
J. Chem. Inf. Model., 2020

Graphical Presentations of Clinical Data in a Learning Electronic Medical Record.
Appl. Clin. Inform., 2020

Patient-Specific Modeling with Personalized Decision Paths.
Proceedings of the AMIA 2020, 2020

2019
Estimating and Controlling the False Discovery Rate of the PC Algorithm Using Edge-specific P-Values.
ACM Trans. Intell. Syst. Technol., 2019

Using machine learning to selectively highlight patient information.
J. Biomed. Informatics, 2019

Identifying incidental findings from radiology reports of trauma patients: An evaluation of automated feature representation methods.
Int. J. Medical Informatics, 2019

Translational bioinformatics in mental health: open access data sources and computational biomarker discovery.
Briefings Bioinform., 2019

Interactive NLP in Clinical Care: Identifying Incidental Findings in Radiology Reports.
Appl. Clin. Inform., 2019

An Empirical Investigation of Instance-Specific Causal Bayesian Network Learning.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

Curating EHR data in the All of Us Research Program.
Proceedings of the AMIA 2019, 2019

Insights from a dissertation on the development of a Learning Electronic Medical Record System: data-driven, context-aware learning.
Proceedings of the AMIA 2019, 2019

Team-Centered Informatics: A Necessary Adaptation to Translational and Implementation Science?
Proceedings of the AMIA 2019, 2019

Markov Blanket Ranking Using Kernel-Based Conditional Dependence Measures.
Proceedings of the Cause Effect Pairs in Machine Learning, 2019

2018
Fast causal inference with non-random missingness by test-wise deletion.
Int. J. Data Sci. Anal., 2018

Instance-Specific Bayesian Network Structure Learning.
Proceedings of the International Conference on Probabilistic Graphical Models, 2018

An Interactive NLP Tool for Signout Note Preparation.
Proceedings of the IEEE International Conference on Healthcare Informatics, 2018

A Computable Phenotype Library Plugin for i2b2.
Proceedings of the AMIA 2018, 2018

Social Context Sentence Classification from Psychiatric Reports using Positive and Unlabeled Learning.
Proceedings of the AMIA 2018, 2018

Using Machine Learning to Predict the Information Seeking Behavior of Clinicians Using an Electronic Medical Record System.
Proceedings of the AMIA 2018, 2018

Design of a Learning Electronic Medical Record: A Qualitative Study of ICU Clinicians' Information Needs and Practices.
Proceedings of the AMIA 2018, 2018

Workflow for Developing i2b2 Ontologies from Source Terminologies in ACT.
Proceedings of the AMIA 2018, 2018

Software Package to Load Data from REDCap to PCORnet CDM 4.0.
Proceedings of the AMIA 2018, 2018

Utility of Visual Analytics for Identifying Patient Subgroups in EMRs: Insights for Accelerating Precision Medicine.
Proceedings of the AMIA 2018, 2018

2017
Automated annotation and classification of BI-RADS assessment from radiology reports.
J. Biomed. Informatics, 2017

Learning Parsimonious Classification Rules from Gene Expression Data Using Bayesian Networks with Local Structure.
Data, 2017

The Building Blocks of Inter-operability.
Appl. Clin. Inform., 2017

Eye-tracking for clinical decision support: A method to capture automatically what physicians are viewing in the EMR.
Proceedings of the Summit on Clinical Research Informatics, 2017

Exploring Novel Graphical Representations of Clinical Data in a Learning EMR.
Proceedings of the AMIA 2017, 2017

Vicinity Exploration: Enabling User-Driven Visual Search of Multiple Machine Learning Models for Precision Medicine.
Proceedings of the AMIA 2017, 2017

2016
Outlier-based detection of unusual patient-management actions: An ICU study.
J. Biomed. Informatics, 2016

An informatics research agenda to support precision medicine: seven key areas.
J. Am. Medical Informatics Assoc., 2016

2015
Comparison of machine learning classifiers for influenza detection from emergency department free-text reports.
J. Biomed. Informatics, 2015

Knowledge transfer via classification rules using functional mapping for integrative modeling of gene expression data.
BMC Bioinform., 2015

Patient-Specific Modeling of Medical Data.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2015

Development and Preliminary Evaluation of a Prototype of a Learning Electronic Medical Record System.
Proceedings of the AMIA 2015, 2015

2014
Semi-automated literature mining to identify putative biomarkers of disease from multiple biofluids.
J. Clin. Bioinform., 2014

Counting Markov Blanket Structures.
CoRR, 2014

Dependence versus Conditional Dependence in Local Causal Discovery from Gene Expression Data.
CoRR, 2014

Markov Blanket Ranking using Kernel-based Conditional Dependence Measures.
CoRR, 2014

Identifying genetic interactions associated with late-onset Alzheimer's disease.
BioData Min., 2014

2013
Outlier detection for patient monitoring and alerting.
J. Biomed. Informatics, 2013

Deep Multiple Kernel Learning.
Proceedings of the 12th International Conference on Machine Learning and Applications, 2013

Data-driven identification of unusual clinical actions in the ICU.
Proceedings of the AMIA 2013, 2013

Decision Path Models for Patient-Specific Modeling of Patient Outcomes.
Proceedings of the AMIA 2013, 2013

Conditional Outlier Approach for Detection of Unusual Patient Care Actions.
Proceedings of the Late-Breaking Developments in the Field of Artificial Intelligence, 2013

2012
Building an automated SOAP classifier for emergency department reports.
J. Biomed. Informatics, 2012

The role of complementary bipartite visual analytical representations in the analysis of SNPs: a case study in ancestral informative markers.
J. Am. Medical Informatics Assoc., 2012

Application of a spatially-weighted Relief algorithm for ranking genetic predictors of disease.
BioData Min., 2012

A multivariate probabilistic method for comparing two clinical datasets.
Proceedings of the ACM International Health Informatics Symposium, 2012

Network Label Propagation Yields Reproducible Biomarker SNPs in Alzheimer's Datasets.
Proceedings of the AMIA 2012, 2012

2011
The application of naive Bayes model averaging to predict Alzheimer's disease from genome-wide data.
J. Am. Medical Informatics Assoc., 2011

Computerized detection of adverse drug reactions in the medical intensive care unit.
Int. J. Medical Informatics, 2011

Application of an efficient Bayesian discretization method to biomedical data.
BMC Bioinform., 2011

Learning genetic epistasis using Bayesian network scoring criteria.
BMC Bioinform., 2011

2010
Learning Instance-Specific Predictive Models.
J. Mach. Learn. Res., 2010

Learning patient-specific predictive models from clinical data.
J. Biomed. Informatics, 2010

Bayesian rule learning for biomedical data mining.
Bioinform., 2010

2009
Knowledge-based variable selection for learning rules from proteomic data.
BMC Bioinform., 2009

Document Retrieval using a Probabilistic Knowledge Model.
Proceedings of the KDIR 2009 - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval, Funchal, 2009

A Bayesian Method for Identifying Genetic Interactions.
Proceedings of the AMIA 2009, 2009

Measuring Stability of Feature Selection in Biomedical Datasets.
Proceedings of the AMIA 2009, 2009

2008
An Evaluation of Discretization Methods for Learning Rules from Biomedical Datasets.
Proceedings of the International Conference on Bioinformatics & Computational Biology, 2008

Improving Peptide Identification via Validation with Intensity-based Modeling of Tandem Mass Spectra.
Proceedings of the International Conference on Bioinformatics, 2008

Analysis of a Failed Clinical Decision Support System for Management of Congestive Heart Failure.
Proceedings of the AMIA 2008, 2008

Improving Classification Performance with Discretization on Biomedical Datasets.
Proceedings of the AMIA 2008, 2008

Assessing the Performance Characteristics of Signals Used by a Clinical Event Monitor to Detect Adverse Drug Reactions in the Nursing Home.
Proceedings of the AMIA 2008, 2008

2007
Evidence-based Anomaly Detection in Clinical Domains.
Proceedings of the AMIA 2007, 2007

2005
Patient-Specific Models for Predicting the Outcomes of Patients with Community Acquired Pneumonia.
Proceedings of the AMIA 2005, 2005

Deriving the Expected Utility of a Predictive Model When the Utilities Are Uncertain.
Proceedings of the AMIA 2005, 2005

2004
Instance-Specific Bayesian Model Averaging for Classification.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

2003
Detecting Adverse Drug Events in Discharge Summaries Using Variations on the Simple Bayes Model.
Proceedings of the AMIA 2003, 2003


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