We observe that utilizing the proposed approach leads to accurate health risk appraisal well in advance, with an overall accuracy of 80%.
cDSSs built on the predictive capabilities of FarSight-aggregated and c-LDA classified modeling could demonstrate effective patient-centric and evidence-based risk assessment, thus ensuring proper channeling of preventive and prioritized care.