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 ...

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 ...

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 ...