Privacy-Preserving Prediction of Victim’s Mortality and Their Need for Transportation to Health Facilities

IEEE Transactions on Industrial Informatics(2022)

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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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