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Comparison of Multimodal Deep Learning Approaches for Predicting Clinical Deterioration in Ward Patients: Observational Cohort Study

Comparison of Multimodal Deep Learning Approaches for Predicting Clinical Deterioration in Ward Patients: Observational Cohort Study

A recent systematic review by van der Vegt et al [29] examined the current use of artificial intelligence for predicting clinical deterioration. They found that while many groups have developed promising machine learning models using methods such as logistic regression, Extreme Gradient Boosting, and random forests, few have developed deep learning models. Deep learning models have, on average, outperformed nondeep learning models [30-32].

Charles A Kotula, Jennie Martin, Kyle A Carey, Dana P Edelson, Dmitriy Dligach, Anoop Mayampurath, Majid Afshar, Matthew M Churpek

J Med Internet Res 2025;27:e75340

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