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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 TatonettiMedrxiv : the Preprint Server for Health Sciences|August 23, 2023
Benchmark Pathology Report Text Corpus with Cancer Type ClassificationJenna Kefeli, Nicholas TatonettiPatterns (New York, N.Y.)|March 15, 2024
TCGA-Reports: A machine-readable pathology report resource for benchmarking text-based AI modelsJenna Kefeli, Nicholas TatonettiPatterns (New York, N.Y.)|December 18, 2023
Using machine learning probabilities to identify effects of COVID-19Vijendra Ramlall, Undina Gisladottir, Jenna Kefeli, et al.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 TatonettiMedrxiv : the Preprint Server for Health Sciences|October 21, 2020
Melatonin is significantly associated with survival of intubated COVID-19 patientsVijendra Ramlall, Jason Zucker, Nicholas TatonettiMedrxiv : 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 WangIEEE/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.Nature Communications|October 16, 2024
Generalizable and automated classification of TNM stage from pathology reports with external validationJenna Kefeli, Jacob Berkowitz, Jose M Acitores Cortina, et al.Pageof 4