期刊
NATURE MEDICINE
卷 25, 期 9, 页码 1337-1340出版社
NATURE PUBLISHING GROUP
DOI: 10.1038/s41591-019-0548-6
关键词
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Interest in machine-learning applications within medicine has been growing, but few studies have progressed to deployment in patient care. We present a framework, context and ultimately guidelines for accelerating the translation of machine-learning-based interventions in health care. To be successful, translation will require a team of engaged stakeholders and a systematic process from beginning (problem formulation) to end (widespread deployment).
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