Author: Meng, Zirui; Wang, Minjin; Song, Huan; Guo, Shuo; Zhou, Yanbing; Li, Weimin; Zhou, Yongzhao; Li, Mengjiao; Song, Xingbo; Zhou, Yi; Li, Qingfeng; Lu, Xiaojun; Ying, Binwu
Title: Development and utilization of an intelligent application for aiding COVID-19 diagnosis Cord-id: x2z81cqm Document date: 2020_3_21
ID: x2z81cqm
Snippet: On basis of laboratory examinations indicators from a total of 620 samples, a machine learning-based diagnosis model was developed, and subsequently implemented as a COVID-19 diagnosis aid APP. External validation showed satisfiable model prediction performance (i.e., AUC= 0.872) which guarantees the promising use of this tool for extensive screening.
Document: On basis of laboratory examinations indicators from a total of 620 samples, a machine learning-based diagnosis model was developed, and subsequently implemented as a COVID-19 diagnosis aid APP. External validation showed satisfiable model prediction performance (i.e., AUC= 0.872) which guarantees the promising use of this tool for extensive screening.
Search related documents:
Co phrase search for related documents- Try single phrases listed below for: 1
Co phrase search for related documents, hyperlinks ordered by date