Prediction of Venous Thromboembolism in Diverse Populations Using Machine Learning and Electronic Health Records

Published: 16 May 2023| Version 2 | DOI: 10.17632/tkwzysr4y6.2
Contributor:
Robert Chen

Description

Contains Jupyter notebooks to train, test, and analyze performance of gradient boosting models used to predict venous thromboembolism from electronic health record data.

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Institutions

Icahn School of Medicine at Mount Sinai

Categories

Machine Learning

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