Code for: "Evaluation of Random Forest and Ensemble Methods at Predicting Complications Following Cardiac Surgery"
收藏DataCite Commons2022-06-14 更新2025-04-17 收录
下载链接:
https://pureportal.strath.ac.uk/en/datasets/9da23147-6be9-46f1-95be-6681ed2cc7e0
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资源简介:
This R code was written to develop prediction models for severe postoperative complications following cardiac surgery. It is part of Linda Lapp's PhD Thesis and also a conference proceedings paper "Evaluation of Random Forest and Ensemble Methods at Predicting Complications Following Cardiac Surgery", published at Artificial Intelligence in Medicine (AIME) 2019 conference (https://aime19.aimedicine.info/). The code consists of (1) data preparation, (2) training and testing data based on experiments, (3) prediction model development, and (4) evaluation of prediction models.
提供机构:
University of Strathclyde
创建时间:
2022-06-14



