公开(公告)号：US20240347136A1

公开(公告)日：2024-10-17

申请号：US18036947

申请日：2022-08-17

申请人： JIANGSU QLIFE MEDICAL TECHNOLOGY GROUP CO., LTD. ,  NANJING QLIFE MEDICAL TECHNOLOGY CO., LTD.

发明人： Xiaoliang CHENG ,  Lei ZHANG ,  Yue ZHOU ,  Wei ZHANG ,  Kejia ZHENG

IPC分类号： G16B45/00 ,  G16B20/40 ,  G16B40/10 ,  G16B50/20

CPC分类号： G16B45/00 ,  G16B20/40 ,  G16B40/10 ,  G16B50/20

摘要： Disclosed are a feature screening method and apparatus, a storage medium, and an electronic device. The method includes: determining feature validation subsets based on data features in sample data; partitioning the sample data into individual sample groups corresponding to different individuals based on an individual to which the sample data belongs, and performing cross-validation partitioning based on the individual sample groups, to determine a training dataset and a validation dataset obtained through partitioning; training a machine learning model of a processing target based on the training and validation datasets corresponding to each feature validation subset; and determining a target data feature group corresponding to the processing target based on training process data of each model. Thereout, cross-validation partitioning makes sample data of one individual not being partitioned into training and validation datasets meanwhile, avoiding impact of individual sample data on performance of the model and improving accuracy of feature screening.