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Stroke risk prediction using machine learning: a prospective cohort study of 0.5 million Chinese adults
ConclusionAmong several approaches, an ensemble model combining both GBT and Cox models achieved the best performance for identifying individuals at high risk of stroke in a contemporary study of Chinese adults. The results highlight the potential value of expanding the use of ML in clinical practice.
Source: Journal of the American Medical Informatics Association - May 9, 2021 Category: Information Technology Source Type: research
