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.
Files
Institutions
Icahn School of Medicine at Mount Sinai
Categories
Machine Learning