Review paper
Machine learning in clinical decision making
Abstract
Machine learning is increasingly integrated into clinical practice, with applications ranging from pre-clinical data processing, bedside diagnosis assistance, patient stratification, treatment decision making, and early warning as part of primary and secondary prevention. However, a multitude of technological, medical, and ethical considerations are critical in machine-learning utilization, including the necessity for careful validation of...
Paper Details
Title
Machine learning in clinical decision making
Published Date
Jun 1, 2021
Journal
Volume
2
Issue
6
Pages
642 - 665
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