Research Square
Integrating dynamic nomogram and machine learning for personalized disability prediction in elderly cardiometabolic multimorbidity: routine blood markers and mental health
Preprint: cohort study in peopleBiomarkers
Abstract
Background Disability prediction in elderly with cardiometabolic multimorbidity (CMM) is limited. We developed a dynamic nomogram and addressed three questions: predictive value of routine blood markers, depression vs. physical function, and plateau in CMM count.
- Machine learning
- Disability
- Cardiometabolic multimorbidity
- Chinese visceral adiposity index
- Creatinine
- Humans
The paper
Affiliated Hospital of Qingdao University
Research Square, 3 Aug 2026, CC BY, Preprint, not peer-reviewed
