A Hybrid AI and Rule-Based Decision Support System for Disease Diagnosis and Management Using Labs

ArXi:2603.14876v1 Announce Type: new This research paper outlines the development and implementation of a novel Clinical Decision System (CDSS) that integrates AI predictive modeling with medical knowledge bases. It utilizes the quantifiable information elements in lab results for inferring likely diagnoses a patient might have. Subsequently, suggesting investigations to confirm the likely diagnoses -- an assistive tool for physicians. The system fuses knowledge contained in a rule-base expert system with inferences of data driven predictors based on the features in labs.