Tree-Guided Rare Feature Selection and Logic Aggregation with Electronic Health Records Data
电子健康记录中的树引导稀有特征选择与逻辑聚合
Statistical learning with a large number of rare binary features is commonly encountered in analyzing electronic health records (EHR) data, especially in the modeling of disease onset with prior medical diagnoses and procedures. Dealing with the resulting highly sparse and large-scale binary feature matrix is notoriously challenging as conventional methods may suffer from a lack of power in testing and inconsistency in model fitting, while machine learning methods may suffer…