本研究针对伊朗自杀率上升但传统统计模型预测精度不足的问题，采用LogitBoost等9种集成机器学习算法，分析2017-2024年纵向医院数据（n=2263），发现入院时间、药物类型等关键生存因素，模型准确率达94.3%，为急诊分诊和个性化干预提供AI支持。 研究背景与意义 ...

A machine learning algorithm was able to predict death and heart attack from cardiac imaging data with more than 90 percent accuracy, according to the results of a study presented on May 12 at the ...

A machine-learning (ML) technology has surpassed human capabilities when it comes to predicting the chances of death or heart attacks, according to research presented Monday at the International ...

LogitBoost is more accurate than humans after being programmed to use 85 variables to calculate risks, it's claimed A MACHINE algorithm similar to those used by Netflix can predict death or heart ...