Nicholas P. Tatonetti

According to our database1, Nicholas P. Tatonetti authored at least 52 papers between 2010 and 2023.

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Bibliography

2023
Using machine learning probabilities to identify effects of COVID-19.
Patterns, December, 2023

Structured deep embedding model to generate composite clinical indices from electronic health records for early detection of pancreatic cancer.
Patterns, January, 2023

ChatGPT and large language models in academia: opportunities and challenges.
BioData Min., January, 2023

Large Language Models for Granularized Barrett's Esophagus Diagnosis Classification.
CoRR, 2023

2022
Deep learning on time series laboratory test results from electronic health records for early detection of pancreatic cancer.
J. Biomed. Informatics, 2022

Using Time Series Clustering to Segment and Infer Emergency Department Nursing Shifts from Electronic Health Record Log Files.
Proceedings of the AMIA 2022, 2022

2021
Medical records-based chronic kidney disease phenotype for clinical care and "big data" observational and genetic studies.
npj Digit. Medicine, 2021

E-Pedigrees: a large-scale automatic family pedigree prediction application.
Bioinform., 2021

Evaluating risk detection methods to uncover ontogenic-mediated adverse drug effect mechanisms in children.
BioData Min., 2021

Achieving Trustworthy Biomedical Data Solutions.
Proceedings of the Biocomputing 2021: Proceedings of the Pacific Symposium, 2021

2020
Using Machine Learning to Identify Adverse Drug Effects Posing Increased Risk to Women.
Patterns, 2020

Comparative analysis, applications, and interpretation of electronic health record-based stroke phenotyping methods.
BioData Min., 2020

Session Introduction.
Proceedings of the Pacific Symposium on Biocomputing 2020, 2020

2019
Pathway analysis of genomic pathology tests for prognostic cancer subtyping.
J. Biomed. Informatics, 2019

Challenges with quality of race and ethnicity data in observational databases.
J. Am. Medical Informatics Assoc., 2019

PatientExploreR: an extensible application for dynamic visualization of patient clinical history from electronic health records in the OMOP common data model.
Bioinform., 2019

Translational medicine in the Age of Big Data.
Briefings Bioinform., 2019

Breast Cancer Screening Rates Among Family Members of Affected Relatives.
Proceedings of the AMIA 2019, 2019

Chronic Condition Symptom Enrichment from Electronic Health Records.
Proceedings of the AMIA 2019, 2019

2018
Pharmacological risk factors associated with hospital readmission rates in a psychiatric cohort identified using prescriptome data mining.
BMC Medical Informatics Decis. Mak., 2018

Uncovering exposures responsible for birth season - disease effects: a global study.
J. Am. Medical Informatics Assoc., 2018

Using model classifications as quantitative traits to estimate stroke heritability.
Proceedings of the AMIA 2018, 2018

Low Screening Rates for Diabetes Mellitus Among Family Members of Affected Relatives.
Proceedings of the AMIA 2018, 2018

Comparison of Electronic Medication Orders Versus Administration Records for Identifying Prevalence of Postoperative Nausea and Vomiting.
Proceedings of the AMIA 2018, 2018

2017
Prognosis of Clinical Outcomes with Temporal Patterns and Experiences with One Class Feature Selection.
IEEE ACM Trans. Comput. Biol. Bioinform., 2017

Ten Simple Rules to Enable Multi-site Collaborations through Data Sharing.
PLoS Comput. Biol., 2017

Procedure prediction from symbolic Electronic Health Records via time intervals analytics.
J. Biomed. Informatics, 2017

Generative Adversarial Networks for Electronic Health Records: A Framework for Exploring and Evaluating Methods for Predicting Drug-Induced Laboratory Test Trajectories.
CoRR, 2017

Large-scale adverse effects related to treatment evidence standardization (LAERTES): an open scalable system for linking pharmacovigilance evidence sources with clinical data.
J. Biomed. Semant., 2017

Predictive Modeling of Hospital Readmission Rates Using Electronic Medical Record-Wide Machine Learning: A Case-Study Using Mount Sinai Heart Failure Cohort.
Proceedings of the Biocomputing 2017: Proceedings of the Pacific Symposium, 2017

Session Introduction.
Proceedings of the Biocomputing 2017: Proceedings of the Pacific Symposium, 2017

Automated Identification of Families in Electronic Health Records to Support Clinical Research.
Proceedings of the Summit on Clinical Research Informatics, 2017

Deep recurrent neural networks identify transgender patients.
Proceedings of the AMIA 2017, 2017

The Use of Informatics to Reduce Disparities in Transgender Health.
Proceedings of the AMIA 2017, 2017

2016
Improving condition severity classification with an efficient active learning based framework.
J. Biomed. Informatics, 2016

Predicting G protein-coupled receptor downstream signaling by tissue expression.
Bioinform., 2016

Session Introduction.
Proceedings of the Biocomputing 2016: Proceedings of the Pacific Symposium, 2016

Patient-provided Data Improves Race and Ethnicity Data Quality in Electronic Health Records.
Proceedings of the AMIA 2016, 2016

2015
Connectivity Homology Enables Inter-Species Network Models of Synthetic Lethality.
PLoS Comput. Biol., 2015

Toward a complete dataset of drug-drug interaction information from publicly available sources.
J. Biomed. Informatics, 2015

Birth month affects lifetime disease risk: a phenome-wide method.
J. Am. Medical Informatics Assoc., 2015

Development and validation of a classification approach for extracting severity automatically from electronic health records.
J. Biomed. Semant., 2015

Outcomes Prediction via Time Intervals Related Patterns.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

An Assessment of Family History Information Captured in an Electronic Health Record.
Proceedings of the AMIA 2015, 2015

Recent Advances in Computational Drug Repositioning.
Proceedings of the AMIA 2015, 2015

An Active Learning Framework for Efficient Condition Severity Classification.
Proceedings of the Artificial Intelligence in Medicine, 2015

2013
Web-scale pharmacovigilance: listening to signals from the crowd.
J. Am. Medical Informatics Assoc., 2013

Correspondence: Response to 'Use of an algorithm for identifying hidden drug-drug interactions in adverse event reports' by Gooden <i>et al</i>.
J. Am. Medical Informatics Assoc., 2013

2012
A novel signal detection algorithm for identifying hidden drug-drug interactions in adverse event reports.
J. Am. Medical Informatics Assoc., 2012

Interpretome: A Freely Available, Modular, and Secure Personal Genome Interpretation Engine.
Proceedings of the Biocomputing 2012: Proceedings of the Pacific Symposium, 2012

2010
An integrative method for scoring candidate genes from association studies: application to warfarin dosing.
BMC Bioinform., 2010

Improving the Prediction of Pharmacogenes Using Text-Derived Gene-Drug Relationships.
Proceedings of the Biocomputing 2010: Proceedings of the Pacific Symposium, 2010


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