Synthea synthetic patient data for lung cancer risk prediction machine learning
收藏资源简介:
This dataset contains Synthea synthetic patient data used in building ML models for lung cancer risk prediction. The ML models are used to simulate ML-enabled LHS. This open dataset is part of the synthetic data repository of the Open LHS project on GitHub: https://github.com/lhs-open/synthetic-data. For data source and methods, see the first ML-LHS simulation paper published in Nature Scientific Reports: https://www.nature.com/articles/s41598-022-23011-4.
本数据集包含用于构建肺癌风险预测机器学习(Machine Learning, ML)模型的Synthea合成患者数据。此类机器学习模型被用于仿真支持机器学习的学习型健康系统(Learning Health System, LHS)。本开源数据集是GitHub平台上Open LHS项目的合成数据仓库的组成部分,项目仓库地址为:https://github.com/lhs-open/synthetic-data。有关数据集来源与研究方法,请参阅发表于《Nature Scientific Reports》(《自然·科学报告》)的首篇ML-LHS仿真研究论文,论文链接为:https://www.nature.com/articles/s41598-022-23011-4。




