Prediction of Venous Thromboembolism in Diverse Populations Using Machine Learning and Electronic Health Records
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https://data.mendeley.com/datasets/tkwzysr4y6
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资源简介：
Contains resources needed to train, test, and analyze performance of gradient boosting models used to predict venous thromboembolism (VTE) from electronic health record (EHR) data.
"Code for analyses" folder: Contains code we used for the analyses in our paper.
Prediction.ipynb: Contains code needed to run trained models.
Small, Medium, and Large.xlsx: Excel templates to correctly format data for prediction generation.
Models.zip: Contains trained models. Note that this is 0.4 GB once unzipped.
Analysis.ipynb: Contains code used to train the models.
Dependencies: Python 3.10.9; Pandas 1.5.1; LightGBM 3.3.2.
创建时间：
2023-10-25
