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移动健康中的人工智能决策

Artificial intelligence decision-making in mobile health.

作者信息

Menictas Marianne, Rabbi Mashfiqui, Klasnja Predrag, Murphy Susan

机构信息

Harvard University, the University of Michigan and the Kaiser Permanente Washington Health Research Institute, USA.

出版信息

Biochem (Lond). 2019 Oct;41(5):20-24. doi: 10.1042/bio04105020. Epub 2019 Oct 18.

DOI:10.1042/bio04105020
PMID:33828355
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8023386/
Abstract

It is likely that you or someone you know is affected by a chronic health condition. For example, a staggering six in 10 adults in the USA are currently suffering from a chronic disease (National Center for Chronic Disease Prevention and Health Promotion, 2019). Unfortunately, chronic conditions are not treatable overnight, but they can often be improved by regular incorporation of preventative behaviours (e.g., taking medication, healthy sleeping habits, being physically active, healthy eating, etc.). However, due to the many contingencies that arise in our lives, regular incorporation of healthy behaviours is difficult, and often when we need help in enacting these behaviours, support from clinical professionals is not available.

摘要

你或你认识的人很可能正受到一种慢性健康状况的影响。例如,在美国,每10个成年人中就有6个目前患有慢性病(美国国家慢性病预防与健康促进中心,2019年)。不幸的是,慢性病无法一蹴而就治愈,但通过定期采取预防性行为(如服药、保持健康的睡眠习惯、进行体育锻炼、健康饮食等),病情往往可以得到改善。然而,由于我们生活中会出现许多意外情况,定期采取健康行为很困难,而且当我们在实施这些行为需要帮助时,往往得不到临床专业人员的支持。

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