Nicholas P. Tatonetti

发表

Automated Identification of Families in Electronic Health Records to Support Clinical Research

George Hripcsak, Suzanne Bakken, David K. Vawdrey, 2017, CRI.

An Active Learning Framework for Efficient Condition Severity Classification

Yuval Shahar, George Hripcsak, Yuval Elovici, 2015, AIME.

ROMOP: a light-weight R package for interfacing with OMOP-formatted electronic health record data

Benjamin S. Glicksberg, Atul J. Butte, Nicholas P. Tatonetti, 2019, JAMIA open.

The Use of Informatics to Reduce Disparities in Transgender Health

Rami Vanguri, Nicholas P. Tatonetti, Kenrick Cato, 2017, AMIA.

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

Vassilis Koutkias, Patrick B. Ryan, Michel Dumontier, 2017, Journal of Biomedical Semantics.

cohorts: A Python package for clinical ‘omics data management

Nicholas P. Tatonetti, Nicholas Giangreco, Barry Fine, 2019 .

Correspondence: Response to 'Use of an algorithm for identifying hidden drug-drug interactions in adverse event reports' by Gooden et al

Russ B. Altman, Joshua C. Denny, Nicholas P. Tatonetti, 2013, J. Am. Medical Informatics Assoc..

Turning real-world-data into biomedical advances in drug discovery: Observational data for biomedical discovery

Nicholas P. Tatonetti, 2020 .

Ten Simple Rules to Enable Multi-site Collaborations through Data Sharing

Nicholas P. Tatonetti, Mary Regina Boland, Konrad J. Karczewski, 2017, PLoS Comput. Biol..

Low Screening Rates for Diabetes Mellitus Among Family Members of Affected Relatives

George Hripcsak, David K. Vawdrey, Nicholas P. Tatonetti, 2018, AMIA.

Improving the Prediction of Pharmacogenes Using Text-Derived Gene-Drug Relationships

Russ B. Altman, Nicholas P. Tatonetti, Yael Garten, 2010, Pacific Symposium on Biocomputing.

Development and validation of a classification approach for extracting severity automatically from electronic health records

George Hripcsak, Nicholas P. Tatonetti, Mary Regina Boland, 2015, Journal of Biomedical Semantics.

Birth month affects lifetime disease risk: a phenome-wide method

George Hripcsak, Nicholas P. Tatonetti, Mary Regina Boland, 2015, J. Am. Medical Informatics Assoc..

Comparison of Electronic Medication Orders Versus Administration Records for Identifying Prevalence of Postoperative Nausea and Vomiting

Suzanne Bakken, Nicholas P. Tatonetti, Theresa A. Koleck, 2018, AMIA.

Predicting G protein-coupled receptor downstream signaling by tissue expression

Nicholas P. Tatonetti, Yun Hao, N. Tatonetti, 2016, Bioinform..

Toward a complete dataset of drug-drug interaction information from publicly available sources

Michel Dumontier, Mathias Brochhausen, Nicholas P. Tatonetti, 2015, J. Biomed. Informatics.

An integrative method for scoring candidate genes from association studies: application to warfarin dosing

Russ B. Altman, Joel Dudley, Atul J. Butte, 2010, BMC Bioinformatics.

A novel signal detection algorithm for identifying hidden drug-drug interactions in adverse event reports

Russ B. Altman, Nicholas P. Tatonetti, Guy Haskin Fernald, 2012, J. Am. Medical Informatics Assoc..

Deep recurrent neural networks identify transgender patients

Rami Vanguri, Nicholas P. Tatonetti, Kenrick Cato, 2017, AMIA.

Predicting Negative Control Drugs to Support Research in Drug Safety

Nicholas P. Tatonetti, Yun Hao, 2018 .

An Assessment of Family History Information Captured in an Electronic Health Record

David K. Vawdrey, Fernanda Polubriaginof, Nicholas P. Tatonetti, 2015, AMIA.

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

Noémie Elhadad, Rami Vanguri, Alexandre Yahi, 2017, ArXiv.

Outcomes Prediction via Time Intervals Related Patterns

Fei Wang, George Hripcsak, Nicholas P. Tatonetti, 2015, 2015 IEEE International Conference on Data Mining.

Comparative analysis, applications, and interpretation of electronic health record-based stroke phenotyping methods

Nicholas P. Tatonetti, Tal Lorberbaum, Mitchell S. V. Elkind, 2020, BioData Min..

Predictive Modeling of Hospital Readmission Rates Using Electronic Medical Record-Wide Machine Learning: A Case-Study Using Mount Sinai Heart Failure Cohort

Li Li, Riccardo Miotto, Kipp W. Johnson, 2017, PSB.

Medical data and machine learning improve power of stroke genome-wide association studies

Nicholas P. Tatonetti, Phyllis M. Thangaraj, Undina Gisladottir, 2020, bioRxiv.

Using model classifications as quantitative traits to estimate stroke heritability

Kayla Quinnies, Rami Vanguri, Alexandre Yahi, 2018, AMIA.

Chronic Condition Symptom Enrichment from Electronic Health Records

Suzanne Bakken, Nicholas P. Tatonetti, Theresa A. Koleck, 2019, AMIA.

RecNW: A fast pairwise aligner for targeted sequencing

Alexandre Yahi, Nicholas P. Tatonetti, Pejman Mohammadi, 2018, bioRxiv.

Recent Advances in Computational Drug Repositioning

Nicholas P. Tatonetti, Hua Xu, Nigam H. Shah, 2015, AMIA.

Translational medicine in the Age of Big Data

Nicholas P. Tatonetti, N. Tatonetti, 2017, Briefings Bioinform..

EdiTyper: a high-throughput tool for analysis of targeted sequencing data from genome editing experiments

Alexandre Yahi, Nicholas P. Tatonetti, Pejman Mohammadi, 2020, bioRxiv.

Comparative analysis, applications, and interpretation of electronic health record-based stroke phenotyping methods

Nicholas P. Tatonetti, Tal Lorberbaum, Phyllis M. Thangaraj, 2019, BioData Mining.

VenomKB v2.0: A knowledge repository for computational toxinology

Nicholas P. Tatonetti, Joseph D. Romano, Victor Nwankwo, 2018 .

Transfer learning from simulations improves the classification of OCT images of glandular epithelia

Nicholas P. Tatonetti, Sassan Ostvar, Han Truong, 2020, bioRxiv.

Improving condition severity classification with an efficient active learning based framework

Yuval Shahar, George Hripcsak, Yuval Elovici, 2016, J. Biomed. Informatics.

Web-scale pharmacovigilance: listening to signals from the crowd

Ryen W. White, Eric Horvitz, Russ B. Altman, 2013, J. Am. Medical Informatics Assoc..

Uncovering exposures responsible for birth season – disease effects: a global study

Li Li, Phung Anh Nguyen, Yu-Chuan Li, 2017, J. Am. Medical Informatics Assoc..

Connectivity Homology Enables Inter-Species Network Models of Synthetic Lethality

Nicholas P. Tatonetti, Scott J. Dixon, Alexandra Jacunski, 2015, PLoS Comput. Biol..

Improving the Prediction of Pharmacogenes Using Text-Derived Gene-Drug Relationships

Russ B. Altman, Nicholas P. Tatonetti, Yael Garten, 2010, Pacific Symposium on Biocomputing.

Breast Cancer Screening Rates Among Family Members of Affected Relatives

David K. Vawdrey, Nicholas P. Tatonetti, Fernanda C. Polubriaginof, 2019, AMIA.

Pharmacological risk factors associated with hospital readmission rates in a psychiatric cohort identified using prescriptome data mining

Li Li, Kipp W. Johnson, Benjamin S. Glicksberg, 2018, BMC Medical Informatics and Decision Making.

Prognosis of Clinical Outcomes with Temporal Patterns and Experiences with One Class Feature Selection

George Hripcsak, Nicholas P. Tatonetti, Hyunmi Choi, 2017, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Science as a Culinary Art: How Data Science and Informatics Will Change Knowledge Discovery for Everyone

Nicholas P. Tatonetti, N. Tatonetti, 2018, Annual Review of Biomedical Data Science.

Patient-provided Data Improves Race and Ethnicity Data Quality in Electronic Health Records

George Hripcsak, David K. Vawdrey, Adler J. Perotte, 2016, AMIA.

Familial relationships in electronic health records (EHR) v2

Nicholas P. Tatonetti, Zhouzerui Liu, 2019 .

Interpretome: A Freely Available, Modular, and Secure Personal Genome Interpretation Engine

Russ B. Altman, Joel Dudley, Nicholas P. Tatonetti, 2011, Pacific Symposium on Biocomputing.

Procedure prediction from symbolic Electronic Health Records via time intervals analytics

Patrick B. Ryan, Fernanda Polubriaginof, Nicholas P. Tatonetti, 2017, J. Biomed. Informatics.

Achieving Trustworthy Biomedical Data Solutions

Bethany Percha, Peter Washington, Nicholas P. Tatonetti, 2020, PSB.

Replicating Cardiovascular Condition-Birth Month Associations

Li Li, Riccardo Miotto, Nicholas P. Tatonetti, 2016, Scientific Reports.

Improving Detection of Arrhythmia Drug-Drug Interactions in Pharmacovigilance Data through the Implementation of Similarity-Based Modeling

George Hripcsak, Nicholas P. Tatonetti, Santiago Vilar, 2015, PloS one.

An Integrative Data Science Pipeline to Identify Novel Drug Interactions that Prolong the QT Interval

Nicholas P. Tatonetti, Tal Lorberbaum, N. Tatonetti, 2016, Drug Safety.

Development of A Machine Learning Algorithm to Classify Drugs Of Unknown Fetal Effect

Fernanda Polubriaginof, Nicholas P. Tatonetti, Mary Regina Boland, 2017, Scientific Reports.

Bridging Islands of Information to Establish an Integrated Knowledge Base of Drugs and Health Outcomes of Interest

Christophe G. Lambert, Patrick B. Ryan, J. Marc Overhage, 2014, Drug Safety.

Abstract 19489: Pharmacological Factors Associated With Congestive Heart Failure Hospital Readmission: A Case-Study Using 15,768 Heart Failure Patients From Two Health Systems

Riccardo Miotto, Kipp W. Johnson, Alexandre Yahi, 2016 .

Predicting Phenotypic Polymyxin Resistance in Klebsiella pneumoniae through Machine Learning Analysis of Genomic Data

Nicholas P. Tatonetti, I. Pe’er, N. Tatonetti, 2020, mSystems.

Shotgun Transcriptome and Isothermal Profiling of SARS-CoV-2 Infection Reveals Unique Host Responses, Viral Diversification, and Drug Interactions

Nicholas P. Tatonetti, Iman Hajirasouliha, Christopher E. Mason, 2020, bioRxiv.

3D Pharmacophoric Similarity improves Multi Adverse Drug Event Identification in Pharmacovigilance

George Hripcsak, Nicholas P. Tatonetti, Santiago Vilar, 2015, Scientific Reports.

A knowledge-based, automated method for phenotyping in the EHR using only clinical pathology reports

Alexandre Yahi, Nicholas P. Tatonetti, N. Tatonetti, 2015, AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science.