Simple Linear Cancer Risk Prediction Models With Novel Features Outperform Complex Approaches.

The high performance of the 10-feature linear models indicate that unbiased selection of diverse features, not ML models, may lead to impressively accurate predictions, possibly enabling personalized screening schedules that increase cancer survival.