[D] Blatant Data Leakage and Lies In an Applied ML Paper

Recently I've come across an applied ML paper in the healthcare field. Paper was published at a smaller sub-journal of a really top level journal in the field. From what I can see the paper has really clear fundamental flaws in their methodology that completely invalidates any and every proposed contribution.

Essentially, they collect heart rate, sleep, etc. data, from patients with a smartwatch, and fit a gradient boosting machine to predict the levels of chemical found in the blood. …

clear data data leakage every flaws healthcare journal lies machinelearning methodology paper