Machine learning in medicine: a practical introduction to techniques for data pre-processing, hyperparameter tuning, and model comparison

This is the authors' abstract. We don't add key points for this paper.

Our paper allows clinicians and medical researchers who are interested in using ML algorithms to understand and recreate the elements of a comprehensive ML analysis. Following our instructions may help to improve model generalizability and reproducibility in medical ML studies.