Figure 7. Connecting side effects to diseases.

Yang and Agarwal¹⁵ constructed 145 disease-specific models using drug side effects as predictive features to evaluate each drug's therapeutic potential for the disease. Shown is their predictive model for hypertension, where the association between hypertension and each side effect (quantified by the Matthews correlation coefficient, MCC) is depicted by both color and edge-thickness. Binary associations between drugs and side effects are shown in grey. Notice that many of the features such as postural hypotension and cold extremities seem reasonable in that they are commonly associated with low blood pressure.