Multimorbidity, the coexistence of multiple chronic conditions, presents a significant challenge for clinical care and public health. Traditional multimorbidity indices, such as the Charlson Comorbidity Index, are based on retrospective disease burden or concurrent conditions, limiting their utility for proactive interventions. In this project we intend to develop a T-year probability of onset for major chronic diseases. By combining these probabilities using modern ML techniques, to maximize the predictive accuracy of all-cause mortality, The resulting model, presented as a continuous probabilistic index, will offer a more accurate and actionable tool for clinicians and healthcare systems. This index which we call “Prodromal Index”, or “PRIX”, can help guide both individual patient management and broader population-level interventions.
