Privacy-Preserving Prediction of Victim’s Mortality and Their Need for Transportation to Health Facilities
IEEE Transactions on Industrial Informatics(2022)
摘要
Emergency medical services (EMS) provide crucial prehospital care, such as in the case of cardiac arrest, where the victim requires immediate first-aid. For this reason, it is vital to improving EMS response time. This article proposes a novel methodology based on machine learning (ML) techniques to predict both the victims’ mortality and their need for transportation to health facilities using da...
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关键词
Medical services,Transportation,Delays,Hafnium,Perturbation methods,Time factors,Privacy
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