Risk factors for hepatosplenic multimorbidity, particularly in chronic infection contexts, remain poorly understood. Here, the authors develop a Bayesian machine learning framework to jointly model 45 hepatosplenic conditions related to schistosomiasis in rural Uganda, identifying shared risk factors and condition dependencies, as well as improving prediction of severe multimorbidity.
- Yin-Cong Zhi
- Victor Anguajibi
- Goylette F. Chami