Practical considerations regarding classification learning for clinical diagnosis and therapy advice in oncology

In the present article the relationship between machine learning and medicine is reviewed, in order to assess the potential for the practical use of machine learning for diagnosis and therapy advice. The considerations built herein are particularly suitable for oncology, in which early diagnostics is particularly important for the success of treatments, and therapy is often based on chemotherapy and radiotherapy, which have harmful side effects.