The Lancet

When to and when not to use machine learning in risk prediction models

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...
ascopubs.org

Development and Validation of Risk Prediction Models for Coronary Heart Disease and Heart Failure After Treatment for Hodgkin Lymphoma

Phase II LEAP-004 Study of Lenvatinib Plus Pembrolizumab for Melanoma With Confirmed Progression on a Programmed Cell Death Protein-1 or Programmed Death Ligand 1 Inhibitor Given as Monotherapy or in ...
Machine Design

Standardizing Computational Models: Verification, Validation and Uncertainty Quantification

Computational models and simulations have had an important role in engineering analysis since as far back as the 1960s. It is widely recognized that the use of modeling and simulation tools can make ...
News Medical

AI models show promise in predicting heart disease risks, but lack validation

In a recent review published in BMC Medicine, scientists evaluate artificial intelligence models (AI-Ms) that predict cardiovascular disease (CVD) risks in general and specific populations while also ...