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Comparative Analysis of Machine Learning Models for Predicting Hospital- and Community-Associated Urinary Tract Infections Using Demographic, Hospital, and Socioeconomic Predictors.

Arjmand, Arash, Majid Bani-Yaghoub, Gary Sutkin, Kiel Corkran, and Susanna Paschal. 2025. “Comparative Analysis of Machine Learning Models for Predicting Hospital- and Community-Associated Urinary Tract Infections Using Demographic, Hospital, and Socioeconomic Predictors.”. The Journal of Hospital Infection.

Surgical Innovation Lab featured in UMKC Today

Our research on Speech Communication Interference in the OR is getting noticed! This article focuses on our collaboration with Dr. Paul Rudy, of the UMKC Conservatory. You can read the full story here.