Chronic Disease

Blue machine learning pattern.

Biostatisticians use machine learning approach to improve risk prediction for recurrent health events

"Random forest" algorithm outperforms traditional methods for predicting patient flare-ups, even with incomplete medical histories

A new machine learning approach developed by University of Michigan School of Public Health researchers better predicts when patients might experience recurring health events like disease flare-ups or hospitalizations, even when patient follow-up data is incomplete.

Money pulled out of a wallet.

Chronic disease burden and future perceptions of financial control

Living with a chronic disease affects more than just physical health—it can cast a shadow over people’s perceived financial control and wellbeing, says a new study published in the journal Medical Care by University of Michigan School of Public Health researchers.

Five images left to right: blood samples in vials, cheese puffs, a fruit market stand, a vaccine bottle, and the interior of an ambulance.

Global Public Health faculty pilot projects receive seed funding

Five researchers at the University of Michigan School of Public Health have been awarded seed funding to prepare international research projects on a range of global health challenges, including gene therapy ethics, childhood nutrition, national food policy, cholera vaccine allocation, and occupational safety.