首页|Affiliated Hospital of North Sichuan Medical College Reports Findings in Machine Learning (Identifying the most crucial factors associated with depression based on interpretable machine learning: a case study from CHARLS)
Affiliated Hospital of North Sichuan Medical College Reports Findings in Machine Learning (Identifying the most crucial factors associated with depression based on interpretable machine learning: a case study from CHARLS)
扫码查看
点击上方二维码区域,可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsreporting originating from Nanchong, Pe ople’s Republic of China, by NewsRx correspondents, researchstated, “Depression is one of the most common mental illnesses among middle-aged and older adults i nChina. It is of great importance to find the crucial factors that lead to depr ession and to effectively controland reduce the risk of depression.”
NanchongPeople’s Republic of ChinaAs iaCyborgsEmerging TechnologiesMachine Learning