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Found 3 papers, 1 papers with code
A standardized framework for risk-based assessment of treatment effect heterogeneity in observational healthcare databases
The Predictive Approaches to Treatment Effect Heterogeneity statement focused on baseline risk as a robust predictor of treatment effect and provided guidance on risk-based assessment of treatment effect heterogeneity in the RCT setting.
How little data do we need for patient-level prediction?
Objective: Provide guidance on sample size considerations for developing predictive models by empirically establishing the adequate sample size, which balances the competing objectives of improving model performance and reducing model complexity as well as computational requirements.
The role of explainability in creating trustworthy artificial intelligence for health care: a comprehensive survey of the terminology, design choices, and evaluation strategies
Artificial intelligence (AI) has huge potential to improve the health and well-being of people, but adoption in clinical practice is still limited.
