>”But Watson won’t change its conclusions based on just four patients. To solve this problem, the Sloan Kettering experts created “synthetic cases” that Watson could learn from, essentially make-believe patients with certain demographic profiles and cancer characteristics.”

Is this standard practice in machine learning? This sounds more like regular programming to get exactly the outcome you want.