ABSTRACT
With the continuous progress of the machine learning (ML) field and the development of different data mining methodologies, we are soon going to find machine-doctors who are trained by human intelligence through continuous learning from data sets and practical experience. The da Vinci robotic machine is already performing well in the case of surgeries, which points to a future where hospitals would function without the direct involvement of human doctors. The chapter will focus on how the ML works starting from the simplest cases to most complex cases in medical treatment, and how it can further be improved with proposals of new learning algorithms, which will generate errors close to the global min value.
