Debunking Google's Death AI - Predictive Analytics Times - machine learning & data science news

Editor's note: Although this author absolves the researchers (from Google) and blames only the journalists for the widespread false claims of a 95% accuracy level for mortality prediction, note that the research paper itself does indeed use the word "accuracy" multiple times as a synonym of AUROC, thus "starting it" among the non-technical or less technical journalists at large. Having my newsfeed cluttered with articles about Google creating an AI that beats hospitals by predicting death with 95% accuracy (or some other erroneous claim), I dug up the original research paper to fact check this wondrous new advancement. Many of said articles used this quote from the abstract (academia's equivalent of a paperback blurb): These models outperformed traditional, clinically used predictive models in all cases. We believe that this approach can be used to create accurate and scaleable predictions for a variety of clinical scenarios. To the best of our knowledge, our models outperform existing EHR (Electronic Health Record) models in the medical literature.