Directed disease networks to facilitate multiple-disease risk assessment modeling

We investigate multiple disease risk prediction modeling, aimed at assessing future disease risks for an individual who is ready for discharge after hospitalization. We propose a novel framework that combines directed disease network and recommendation system techniques to substantially enhance multiple disease risk predictive modeling. Firstly, a directed disease network considering temporal information is developed. Then based on this directed disease network, we look into different disease risk score computing approaches. We validate the proposed approaches with two real-world datasets from two independent hospitals. The predicted results can be promisingly utilized as a reference for medical experts to offer effective healthcare guidance for both inpatients and outpatients. The proposed framework can also be utilized for developing an innovative tool that helps individuals create and maintain a better healthcare plan over time.