A Machine-Learned Comorbidity Index
This episode discusses a paper introducing a Machine-Learned Comorbidity Index (MLCI) that uses neural networks to map diagnosis codes to a single risk score. The hosts explore how this data-driven approach captures complex interactions between diagnoses better than traditional methods, focusing on its practical use for patient risk stratification and setting intervention cutoffs.