
自殺の兆候を人工知能で解析、WPI主導の研究で主要な予測因子を特定(Using Artificial Intelligence to Comb Through Warning Signs of Suicide, WPI-led Study Identifies Key Predictors)
見過ごされがちな解離症状がクローズアップされるOften-overlooked dissociative symptoms come into focus2023-02-08 ウスター工科大学(WPI)◆ウスター工科大学(WPI)とハーバー...