How To Deal With Machine Learning Papers

Here's a very useful article in JAMA on how to read an article that uses machine learning to propose a diagnostic model. It's especially good for that topic, but it's also worth going over for the rest of us who may not be diagnosing patients but who would like to evaluate new papers that claim an interesting machine-learning result. I would definitely recommend reading it, and also this one on appropriate controls in the field. The latter is a bit more technical, but it has some valuable suggestions to people running such models, and you can check to see if those are implemented yet. Edit: I should definitely mention Pat Walters' perspective on this, too!