Nicholas P. Tatonetti

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 40

Top Topics

Electronic Health Records

Top Venues

J. Biomed. Informatics

Publications

Jason Patterson, Nicholas P. Tatonetti
KG-LIME: predicting individualized risk of adverse drug events for multiple sclerosis disease-modifying therapy. J. Am. Medical Informatics Assoc. 31 (8) (2024)
Emily Wong, Ryan J. Urbanowicz, Tiffani J. Bright, Nicholas P. Tatonetti, Yi-Wen Hsiao, Xiuzhen Huang, Jason H. Moore, Pei-Chen Peng
Advancing LGBTQ+ inclusion in STEM education and AI research. Patterns 5 (6) (2024)
Jenna Kefeli, Nicholas P. Tatonetti
TCGA-Reports: A machine-readable pathology report resource for benchmarking text-based AI models. Patterns 5 (3) (2024)
Vijendra Ramlall, Undina Gisladottir, Jenna Kefeli, Yutaro Tanaka, Benjamin May, Nicholas P. Tatonetti
Using machine learning probabilities to identify effects of COVID-19. Patterns 4 (12) (2023)
Jiheum Park, Michael G. Artin, Kate E. Lee, Benjamin L. May, Michael Park, Chin Hur, Nicholas P. Tatonetti
Structured deep embedding model to generate composite clinical indices from electronic health records for early detection of pancreatic cancer. Patterns 4 (1) (2023)
Jesse G. Meyer, Ryan J. Urbanowicz, Patrick C. N. Martin, Karen O'Connor, Ruowang Li, Pei-Chen Peng, Tiffani J. Bright, Nicholas P. Tatonetti, Kyoung-Jae Won, Graciela Gonzalez-Hernandez, Jason H. Moore
ChatGPT and large language models in academia: opportunities and challenges. BioData Min. 16 (1) (2023)
Jenna Kefeli, Ali Soroush, Courtney J. Diamond, Haley M. Zylberberg, Benjamin L. May, Julian A. Abrams, Chunhua Weng, Nicholas P. Tatonetti
Large Language Models for Granularized Barrett's Esophagus Diagnosis Classification. CoRR (2023)
Jiheum Park, Michael G. Artin, Kate E. Lee, Yoanna S. Pumpalova, Myles A. Ingram, Benjamin L. May, Michael Park, Chin Hur, Nicholas P. Tatonetti
Deep learning on time series laboratory test results from electronic health records for early detection of pancreatic cancer. J. Biomed. Informatics 131 (2022)
Amanda J. Moy, Kenrick Cato, Jennifer Withall, Nicholas P. Tatonetti, Eugene Kim, Sarah Collins Rossetti
Using Time Series Clustering to Segment and Infer Emergency Department Nursing Shifts from Electronic Health Record Log Files. AMIA (2022)
Nicholas Giangreco, Nicholas P. Tatonetti
Evaluating risk detection methods to uncover ontogenic-mediated adverse drug effect mechanisms in children. BioData Min. 14 (1) (2021)
Ning Shang, Atlas Khan, Fernanda Polubriaginof, Francesca Zanoni, Karla Mehl, David Fasel, Paul E. Drawz, Robert J. Carrol, Joshua C. Denny, Matthew A. Hathcock, Adelaide M. Arruda-Olson, Peggy L. Peissig, Richard A. Dart, Murray H. Brilliant, Eric B. Larson, David S. Carrell, Sarah A. Pendergrass, Shefali Setia Verma, Marylyn D. Ritchie, Barbara Benoit, Vivian S. Gainer, Elizabeth W. Karlson, Adam S. Gordon, Gail P. Jarvik, Ian B. Stanaway, David R. Crosslin, Sumit Mohan, Iuliana Ionita-Laza, Nicholas P. Tatonetti, Ali G. Gharavi, George Hripcsak, Chunhua Weng, Krzysztof Kiryluk
Medical records-based chronic kidney disease phenotype for clinical care and "big data" observational and genetic studies. npj Digit. Medicine 4 (2021)
Peter Washington, Serena Yeung, Bethany Percha, Nicholas P. Tatonetti, Jan T. Liphardt, Dennis P. Wall
Achieving Trustworthy Biomedical Data Solutions. PSB (2021)
Phyllis M. Thangaraj, Benjamin Kummer, Tal Lorberbaum, Mitchell S. V. Elkind, Nicholas P. Tatonetti
Comparative analysis, applications, and interpretation of electronic health record-based stroke phenotyping methods. BioData Min. 13 (1) (2020)
Payal Chandak, Nicholas P. Tatonetti
Using Machine Learning to Identify Adverse Drug Effects Posing Increased Risk to Women. Patterns 1 (7) (2020)
Steven E. Brenner, Martha L. Bulyk, Dana C. Crawford, Alexander A. Morgan, Predrag Radivojac, Nicholas P. Tatonetti
Session Introduction. PSB (2020)
Fernanda C. Polubriaginof, Silis Y. Jiang, Nicholas P. Tatonetti, David K. Vawdrey
Breast Cancer Screening Rates Among Family Members of Affected Relatives. AMIA (2019)
Theresa A. Koleck, Suzanne R. Bakken, Nicholas P. Tatonetti
Chronic Condition Symptom Enrichment from Electronic Health Records. AMIA (2019)
Fernanda C. Polubriaginof, Patrick B. Ryan, Hojjat Salmasian, Andrea W. Shapiro, Adler J. Perotte, Monika M. Safford, George Hripcsak, Shaun Smith, Nicholas P. Tatonetti, David K. Vawdrey
Challenges with quality of race and ethnicity data in observational databases. J. Am. Medical Informatics Assoc. 26 (8-9) (2019)
Olga Lyudovyk, Yufeng Shen, Nicholas P. Tatonetti, Susan J. Hsiao, Mahesh M. Mansukhani, Chunhua Weng
Pathway analysis of genomic pathology tests for prognostic cancer subtyping. J. Biomed. Informatics 98 (2019)
Benjamin S. Glicksberg, Boris Oskotsky, Phyllis M. Thangaraj, Nicholas Giangreco, Marcus A. Badgeley, Kipp W. Johnson, Debajyoti Datta, Vivek A Rudrapatna, Nadav Rappoport, Mark M. Shervey, Riccardo Miotto, Theodore C. Goldstein, Eugenia Rutenberg, Remi Frazier, Nelson Lee, Sharat Israni, Rick Larsen, Bethany Percha, Li Li, Joel T. Dudley, Nicholas P. Tatonetti, Atul J. Butte
PatientExploreR: an extensible application for dynamic visualization of patient clinical history from electronic health records in the OMOP common data model. Bioinform. 35 (21) (2019)
Nicholas P. Tatonetti
Translational medicine in the Age of Big Data. Briefings Bioinform. 20 (2) (2019)
Khader Shameer, M. Mercedes Perez-Rodriguez, Roy Bachar, Li Li, Amy Johnson, Kipp W. Johnson, Benjamin S. Glicksberg, Milo R. Smith, Ben Readhead, Joseph Scarpa, Jebakumar Jebakaran, Patricia A. Kovatch, Sabina Lim, Wayne K. Goodman, David L. Reich, Andrew Kasarskis, Nicholas P. Tatonetti, Joel T. Dudley
Pharmacological risk factors associated with hospital readmission rates in a psychiatric cohort identified using prescriptome data mining. BMC Medical Informatics Decis. Mak. 18 (S-3) (2018)
Theresa A. Koleck, Suzanne Bakken, Nicholas P. Tatonetti
Comparison of Electronic Medication Orders Versus Administration Records for Identifying Prevalence of Postoperative Nausea and Vomiting. AMIA (2018)
Phyllis M. Thangaraj, Fernanda C. Polubriaginof, Benjamin Kummer, Rami Vanguri, Tal Lorberbaum, Joseph D. Romano, Kayla Quinnies, Alexandre Yahi, Mitchell S. V. Elkind, Nicholas P. Tatonetti
Using model classifications as quantitative traits to estimate stroke heritability. AMIA (2018)
Mary Regina Boland, Pradipta Parhi, Li Li, Riccardo Miotto, Robert J. Carroll, Usman Iqbal, Phung-Anh (Alex) Nguyen, Martijn J. Schuemie, Seng Chan You, Donahue Smith, Sean Mooney, Patrick B. Ryan, Yu-Chuan (Jack) Li, Rae Woong Park, Joshua C. Denny, Joel T. Dudley, George Hripcsak, Pierre Gentine, Nicholas P. Tatonetti
Uncovering exposures responsible for birth season - disease effects: a global study. J. Am. Medical Informatics Assoc. 25 (3) (2018)
Fernanda C. Polubriaginof, Ning Shang, George Hripcsak, Nicholas P. Tatonetti, David K. Vawdrey
Low Screening Rates for Diabetes Mellitus Among Family Members of Affected Relatives. AMIA (2018)
Mary Regina Boland, Konrad J. Karczewski, Nicholas P. Tatonetti
Ten Simple Rules to Enable Multi-site Collaborations through Data Sharing. PLoS Comput. Biol. 13 (1) (2017)
Alexandre Yahi, Rami Vanguri, Noémie Elhadad, Nicholas P. Tatonetti
Generative Adversarial Networks for Electronic Health Records: A Framework for Exploring and Evaluating Methods for Predicting Drug-Induced Laboratory Test Trajectories. CoRR (2017)
Khader Shameer, Kipp W. Johnson, Alexandre Yahi, Riccardo Miotto, Li Li, Doran Ricks, Jebakumar Jebakaran, Patricia A. Kovatch, Partho P. Sengupta, Annetine Gelijns, Alan Moskovitz, Bruce Darrow, David L. Reich, Andrew Kasarskis, Nicholas P. Tatonetti, Deborah F. Pinney, Joel T. Dudley
Predictive Modeling of Hospital Readmission Rates Using Electronic Medical Record-Wide Machine Learning: A Case-Study Using Mount Sinai Heart Failure Cohort. PSB (2017)
Fernanda Polubriaginof, Kayla Quinnies, Rami Vanguri, Alexandre Yahi, Mary Simmerling, Iuliana Ionita-Laza, Hojjat Salmasian, Suzanne Bakken, George Hripcsak, Krzysztof Kiryluk, David Goldstein, Nicholas P. Tatonetti, David K. Vawdrey
Automated Identification of Families in Electronic Health Records to Support Clinical Research. CRI (2017)
Konrad J. Karczewski, Nicholas P. Tatonetti, Chirag J. Patel, Arjun K. Manrai, C. Titus Brown, John P. A. Ioannidis
Session Introduction. PSB (2017)
Richard D. Boyce, Erica A. Voss, Vojtech Huser, Lee Evans, Christian G. Reich, Jon D. Duke, Nicholas P. Tatonetti, Tal Lorberbaum, Michel Dumontier, Manfred Hauben, Magnus Wallberg, Lili Peng, Sara Dempster, Yongqun He, Anthony G. Sena, Vassilis Koutkias, Pantelis Natsiavas, Patrick B. Ryan
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. 8 (1) (2017)
Robert Moskovitch, Hyunmi Choi, George Hripcsak, Nicholas P. Tatonetti
Prognosis of Clinical Outcomes with Temporal Patterns and Experiences with One Class Feature Selection. IEEE ACM Trans. Comput. Biol. Bioinform. 14 (3) (2017)
Robert Moskovitch, Fernanda Polubriaginof, Aviram Weiss, Patrick B. Ryan, Nicholas P. Tatonetti
Procedure prediction from symbolic Electronic Health Records via time intervals analytics. J. Biomed. Informatics 75 (2017)
Joseph D. Romano, Kenrick Cato, Rami Vanguri, Nicholas P. Tatonetti
Deep recurrent neural networks identify transgender patients. AMIA (2017)
Kenrick Cato, Joseph D. Romano, Rami Vanguri, Nicholas P. Tatonetti
The Use of Informatics to Reduce Disparities in Transgender Health. AMIA (2017)
Yun Hao, Nicholas P. Tatonetti
Predicting G protein-coupled receptor downstream signaling by tissue expression. Bioinform. 32 (22) (2016)
Nir Nissim, Mary Regina Boland, Nicholas P. Tatonetti, Yuval Elovici, George Hripcsak, Yuval Shahar, Robert Moskovitch
Improving condition severity classification with an efficient active learning based framework. J. Biomed. Informatics 61 (2016)
Arjun K. Manrai, Chirag J. Patel, Nils Gehlenborg, Nicholas P. Tatonetti, John P. A. Ioannidis, Isaac S. Kohane
Session Introduction. PSB (2016)
Fernanda Polubriaginof, Hojjat Salmasian, Andrea W. Shapiro, Jennifer E. Prey, George Hripcsak, Adler J. Perotte, Nicholas P. Tatonetti, David K. Vawdrey
Patient-provided Data Improves Race and Ethnicity Data Quality in Electronic Health Records. AMIA (2016)
Fernanda Polubriaginof, Nicholas P. Tatonetti, David K. Vawdrey
An Assessment of Family History Information Captured in an Electronic Health Record. AMIA (2015)
Mary Regina Boland, Zach Shahn, David Madigan, George Hripcsak, Nicholas P. Tatonetti
Birth month affects lifetime disease risk: a phenome-wide method. J. Am. Medical Informatics Assoc. 22 (5) (2015)
Nir Nissim, Mary Regina Boland, Robert Moskovitch, Nicholas P. Tatonetti, Yuval Elovici, Yuval Shahar, George Hripcsak
An Active Learning Framework for Efficient Condition Severity Classification. AIME (2015)
Alexandra Jacunski, Scott J. Dixon, Nicholas P. Tatonetti
Connectivity Homology Enables Inter-Species Network Models of Synthetic Lethality. PLoS Comput. Biol. 11 (10) (2015)
Atul J. Butte, Nigam Shah, Nicholas P. Tatonetti, Hua Xu, Ping Zhang
Recent Advances in Computational Drug Repositioning. AMIA (2015)
Mary Regina Boland, Nicholas P. Tatonetti, George Hripcsak
Development and validation of a classification approach for extracting severity automatically from electronic health records. J. Biomed. Semant. 6 (2015)
Robert Moskovitch, Colin G. Walsh, Fei Wang, George Hripcsak, Nicholas P. Tatonetti
Outcomes Prediction via Time Intervals Related Patterns. ICDM (2015)
Serkan Ayvaz, John R. Horn, Oktie Hassanzadeh, Qian Zhu, Johann Stan, Nicholas P. Tatonetti, Santiago Vilar, Mathias Brochhausen, Matthias Samwald, Majid Rastegar-Mojarad, Michel Dumontier, Richard D. Boyce
Toward a complete dataset of drug-drug interaction information from publicly available sources. J. Biomed. Informatics 55 (2015)
Ryen W. White, Nicholas P. Tatonetti, Nigam H. Shah, Russ B. Altman, Eric Horvitz
Web-scale pharmacovigilance: listening to signals from the crowd. J. Am. Medical Informatics Assoc. 20 (3) (2013)
Nicholas P. Tatonetti, Joshua C. Denny, Russ B. Altman
. J. Am. Medical Informatics Assoc. 20 (3) (2013)
Konrad J. Karczewski, Robert P. Tirrell, Pablo Cordero, Nicholas P. Tatonetti, Joel T. Dudley, Keyan Salari, Michael Snyder, Russ B. Altman, Stuart K. Kim
Interpretome: A Freely Available, Modular, and Secure Personal Genome Interpretation Engine. Pacific Symposium on Biocomputing (2012)
Nicholas P. Tatonetti, Guy Haskin Fernald, Russ B. Altman
A novel signal detection algorithm for identifying hidden drug-drug interactions in adverse event reports. J. Am. Medical Informatics Assoc. 19 (1) (2012)
Nicholas P. Tatonetti, Joel Dudley, Hersh Sagreiya, Atul J. Butte, Russ B. Altman
An integrative method for scoring candidate genes from association studies: application to warfarin dosing. BMC Bioinform. 11 (S-9) (2010)
Yael Garten, Nicholas P. Tatonetti, Russ B. Altman
Improving the Prediction of Pharmacogenes Using Text-Derived Gene-Drug Relationships. Pacific Symposium on Biocomputing (2010)