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Navigating a Brave New World: 14 Questions for Evaluating the Quality Clinical Machine Learning Models .
Drs. Mohit Bhandari and Joseph Silburt explore the challenges of applying machine learning (ML) in clinical research, highlighting that 68–87% of models show high bias. The article presents a 14-question checklist addressing overfitting, data representativeness, feature selection, class imbalance, and validation. Emphasis is placed on external validation and comparing ML models to traditional baselines. Without careful design and reporting, ML risks being more hype than help in clinical care.
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