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Toward real-world deployment of machine learning for health care: External validation, continual monitoring, and
1Centre for Quantitative Medicine Duke-NUS Medical School Singapore Singapore.
Abstract:
In this commentary, we elucidate three indispensable evaluation steps toward the real-world deployment of machine learning within the healthcare sector and demonstrate referable examples for diagnostic, therapeutic, and prognostic tasks. We encourage researchers to move beyond retrospective and within-sample validation, and step into the practical implementation at the bedside rather than leaving developed machine learning models in the dust of archived literature.
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