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Predictive Models on the Rise, But Do They Work for Health Care?
IEEE Pulse ( IF 0.3 ) Pub Date : 2020-11-01 , DOI: 10.1109/mpuls.2020.3036151
Leslie Mertz

Predictive models are designed to remove some of the subjectivity inherent in medical decision-making and to automate certain health-related services with the idea of improving the accuracy of diagnosis, providing personalized treatment options, and streamlining the health care industry overall. More and more of these models using approaches including machine learning are showing up for use in doctor’s offices and hospitals, as well as in telemedicine applications, which have become prevalent with the growing demand for online alternatives to office visits.

中文翻译:

预测模型正在兴起,但它们是否适用于医疗保健?

预测模型旨在消除医疗决策中固有的一些主观性,并使某些与健康相关的服务自动化,以提高诊断的准确性,提供个性化的治疗选择,并简化整个医疗保健行业。越来越多使用包括机器学习在内的方法的这些模型出现在医生办公室和医院以及远程医疗应用程序中,随着对在线替代办公室访问的需求不断增长,这些应用程序已变得普遍。
更新日期:2020-11-01
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