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State of the Art of Machine Learning–Enabled Clinical Decision Support in Intensive Care Units: Literature Review
58
Zitationen
7
Autoren
2022
Jahr
Abstract
Early identification of clinical and outcome prediction and prognosis assessment contributed to approximately 80% of studies included in this review. Using new algorithms to solve intensive care unit clinical problems by developing reinforcement learning, active learning, and time-series analysis methods for clinical decision support will be greater development prospects in the future.
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