Ten quick tips for ensuring machine learning model validity.

Wilson Wen Bin Goh Mohammad Neamul KabirSehwan YooLimsoon Wong

Published in: PLoS computational biology (2024)

Artificial Intelligence (AI) and Machine Learning (ML) models are increasingly deployed on biomedical and health data to shed insights on biological mechanism, predict disease outcomes, and support clinical decision-making. However, ensuring model validity is challenging. The 10 quick tips described here discuss useful practices on how to check AI/ML models from 2 perspectives-the user and the developer.

Keyphrases

artificial intelligence
machine learning
big data
deep learning
healthcare
decision making
primary care
public health
mental health
type diabetes
electronic health record
skeletal muscle
data analysis