"This study used machine-learning algorithms (Gaussian Naive Bayes) to identify such individuals (17 suicidal ideators versus 17 controls) with high (91%) accuracy, based on their altered functional magnetic resonance imaging neural signatures of death-related and life-related concepts."
Anyone with a Nature subscription want to check whether they simply trained their discriminator and then used it on the same data set? There's no mention in the abstract of testing it against a fresh control set and that's not promising.
Anyone with a Nature subscription want to check whether they simply trained their discriminator and then used it on the same data set? There's no mention in the abstract of testing it against a fresh control set and that's not promising.
https://www.nature.com/articles/s41562-017-0234-y?error=cook...