AI

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On the Heights: May 2025

Departmental news, research highlights, community achievements, and more to help you stay connected with the Michigan Public Health community.

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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.