Early-stage disease risk prediction can be beneficial to improve the health of the mass and
can reduce the economic burden of late treatment. Machine learning has played a pivotal
role in predictive systems, which requires achieving a specific degree of accuracy for
healthcare systems. Most recently researchers have found the necessity of bridging between
epidemiology and machine learning classifications toward health risk prediction. This work
proposes an epidemiology knowledge-driven unique model that follows the principle of …