Abstract Machine learning's (ML's) unique power to approximate functions and identify non‐
obvious regularities in data have attracted considerable attention from researchers in natural …

This scoping review investigates the untapped potential of predictive analytics in healthcare
social work, specifically targeting early intervention frameworks. Despite the escalating …

Problem definition: Increasing costs of healthcare highlight the importance of effective
disease prevention. However, decision models for allocating preventive care are lacking …

Technological advances have enabled the collection of large quantities of valuable data for
health-related use. Particularly, a growing number of scholars are paying attention to the …

Background A key component of return-to-play (RTP) from sport-related concussion is the
symptom-free waiting period (SFWP), ie, the period during which athletes must remain …

This study examines long‐term care (LTC) discharge planning among older delayed
discharge patients. While awaiting placements in alternate care such as LTC, these patients …

Forty percent of diabetics will develop chronic kidney disease (CKD) in their lifetimes.
However, as many as 50% of these CKD cases may go undiagnosed. We developed …

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diagnosed with a chronic condition, appropriately timing treatment is critically important …

Prostate cancer (PCa) is common in American men with long latent periods, during which
the disease is asymptomatic. Active surveillance is a monitoring strategy commonly used for …

In this work, we aim to help patients and providers manage chronic health conditions using
operations research. Providing quality care to patients means managing limited resources …