Prediction of Venous Thromboembolism in Diverse Populations Using Machine Learning and Electronic Health Records
收藏DataCite Commons2025-04-01 更新2025-04-16 收录
下载链接：
https://data.mendeley.com/datasets/tkwzysr4y6
下载链接
链接失效反馈官方服务：
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.
提供机构：
Mendeley Data
创建时间：
2023-05-10
