Nicholas P. Tatonetti
Orcid: 0000-0002-2700-2597
According to our database1,
Nicholas P. Tatonetti
authored at least 56 papers
between 2010 and 2024.
Collaborative distances:
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Bibliography
2024
TCGA-Reports: A machine-readable pathology report resource for benchmarking text-based AI models.
Patterns, March, 2024
KG-LIME: predicting individualized risk of adverse drug events for multiple sclerosis disease-modifying therapy.
J. Am. Medical Informatics Assoc., 2024
Vision-Language and Large Language Model Performance in Gastroenterology: GPT, Claude, Llama, Phi, Mistral, Gemma, and Quantized Models.
CoRR, 2024
2023
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
BioData Min., January, 2023
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
Bioinform., 2021
Evaluating risk detection methods to uncover ontogenic-mediated adverse drug effect mechanisms in children.
BioData Min., 2021
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
Proceedings of the Pacific Symposium on Biocomputing 2020, 2020
2019
J. Biomed. Informatics, 2019
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
Proceedings of the AMIA 2019, 2019
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
J. Am. Medical Informatics Assoc., 2018
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
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
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
Proceedings of the AMIA 2017, 2017
Proceedings of the AMIA 2017, 2017
2016
Improving condition severity classification with an efficient active learning based framework.
J. Biomed. Informatics, 2016
Bioinform., 2016
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
PLoS Comput. Biol., 2015
Toward a complete dataset of drug-drug interaction information from publicly available sources.
J. Biomed. Informatics, 2015
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
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015
Proceedings of the AMIA 2015, 2015
Proceedings of the AMIA 2015, 2015
Proceedings of the Artificial Intelligence in Medicine, 2015
2013
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