Reproducibility in Machine Learning for Health

A recent preprint. Says:

In this work, we conduct a systematic evaluation of over 100 recently published ML4H [machine learning for human health] research papers along several dimensions related to reproducibility. We find that the field of ML4H compares poorly to more established machine learning fields, particularly concerning data and code accessibility.