A Machine-Learned Comorbidity Index
Researchers have developed a new Machine-Learned Comorbidity Index (MLCI) that aims to improve upon traditional comorbidity scores. Unlike existing linear, mortality-centric scores, MLCI utilizes machine learning to capture nonlinear relationships between diagnosis codes and various clinical outcomes. This approach is supported by a theoretical framework and has demonstrated superior performance on electronic health record datasets compared to established baselines. AI