The conclusion that was drawn was that “the early classification of these  diseases can be achieved developing machine learning models such as Artificial Neural Network and Bayesian Network.”  Another conclusion Alic, et al (2017) was able to draw was that between the two ANN and BN that ANN was better and could more accurately classify diabetes/CVD with a mean accuracy in “both cases (87.29 for diabetes and 89.38 for CVD).