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Nicholas Tatonetti

Showing results (1-10 of 33) with videos related to

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Medrxiv : the Preprint Server for Health Sciences|July 10, 2023
Generalizable and Automated Classification of TNM Stage from Pathology Reports with External ValidationJenna Kefeli, Nicholas Tatonetti
Journal of the American Medical Informatics Association : JAMIA|July 4, 2024
KG-LIME: predicting individualized risk of adverse drug events for multiple sclerosis disease-modifying therapyJason Patterson, Nicholas Tatonetti
Medrxiv : the Preprint Server for Health Sciences|August 23, 2023
Benchmark Pathology Report Text Corpus with Cancer Type ClassificationJenna Kefeli, Nicholas Tatonetti
Patterns (New York, N.Y.)|March 15, 2024
TCGA-Reports: A machine-readable pathology report resource for benchmarking text-based AI modelsJenna Kefeli, Nicholas Tatonetti
Biodata Mining|July 2, 2025
Vibe coding: a new paradigm for biomedical software developmentJason H Moore, Nicholas Tatonetti
Medrxiv : the Preprint Server for Health Sciences|October 21, 2020
Melatonin is significantly associated with survival of intubated COVID-19 patientsVijendra Ramlall, Jason Zucker, Nicholas Tatonetti
Medrxiv : the Preprint Server for Health Sciences|November 24, 2025
Multi-level Latent Variable Models for Coheritability Analysis in Electronic Health RecordsYinjun Zhao, Nicholas Tatonetti, Yuanjia Wang
IEEE/ACM Transactions on Computational Biology and Bioinformatics|July 19, 2016
Prognosis of Clinical Outcomes with Temporal Patterns and Experiences with One Class Feature SelectionRobert Moskovitch, Hyunmi Choi, George Hripcsak, et al.
Journal of Biomedical Informatics|August 22, 2017
Procedure prediction from symbolic Electronic Health Records via time intervals analyticsRobert Moskovitch, Fernanda Polubriaginof, Aviram Weiss, et al.
Patterns (New York, N.Y.)|December 18, 2023
Using machine learning probabilities to identify effects of COVID-19Vijendra Ramlall, Undina Gisladottir, Jenna Kefeli, et al.
Pageof 4

Showing results (1-10 of 33) with videos related to

Sort By:
Pageof 4
Medrxiv : the Preprint Server for Health Sciences|July 10, 2023
Generalizable and Automated Classification of TNM Stage from Pathology Reports with External ValidationJenna Kefeli, Nicholas Tatonetti
Journal of the American Medical Informatics Association : JAMIA|July 4, 2024
KG-LIME: predicting individualized risk of adverse drug events for multiple sclerosis disease-modifying therapyJason Patterson, Nicholas Tatonetti
Medrxiv : the Preprint Server for Health Sciences|August 23, 2023
Benchmark Pathology Report Text Corpus with Cancer Type ClassificationJenna Kefeli, Nicholas Tatonetti
Patterns (New York, N.Y.)|March 15, 2024
TCGA-Reports: A machine-readable pathology report resource for benchmarking text-based AI modelsJenna Kefeli, Nicholas Tatonetti
Biodata Mining|July 2, 2025
Vibe coding: a new paradigm for biomedical software developmentJason H Moore, Nicholas Tatonetti
Medrxiv : the Preprint Server for Health Sciences|October 21, 2020
Melatonin is significantly associated with survival of intubated COVID-19 patientsVijendra Ramlall, Jason Zucker, Nicholas Tatonetti
Medrxiv : the Preprint Server for Health Sciences|November 24, 2025
Multi-level Latent Variable Models for Coheritability Analysis in Electronic Health RecordsYinjun Zhao, Nicholas Tatonetti, Yuanjia Wang
IEEE/ACM Transactions on Computational Biology and Bioinformatics|July 19, 2016
Prognosis of Clinical Outcomes with Temporal Patterns and Experiences with One Class Feature SelectionRobert Moskovitch, Hyunmi Choi, George Hripcsak, et al.
Journal of Biomedical Informatics|August 22, 2017
Procedure prediction from symbolic Electronic Health Records via time intervals analyticsRobert Moskovitch, Fernanda Polubriaginof, Aviram Weiss, et al.
Patterns (New York, N.Y.)|December 18, 2023
Using machine learning probabilities to identify effects of COVID-19Vijendra Ramlall, Undina Gisladottir, Jenna Kefeli, et al.
Pageof 4