Background: The aim of this study was to examine the potential added value of including neuropsychiatric symptoms (NPS) in machine learning (ML) models, along with demographic features and Alzheimer's disease (AD) biomarkers, to predict decline or non-decline in global and domain-specific cognitive scores among community-dwelling older adults.
Objective: To evaluate the impact of adding NPS to AD biomarkers on ML model accuracy in predicting cognitive decline among older adults.
Methods: The study was conducted in the setting of the Mayo Clinic Study of Aging, including participants aged ≥ 50 years with information on demographics (i.
Background: Hospitalized patients are frequently unprepared to care for themselves after discharge often leading to unplanned hospital readmission. One strategy to reduce readmission rates is improving the quality of patient education and preparation before hospital discharge. The ReEngineered Discharge (RED) is a standardized hospital-based program designed to provide patients and caregivers the information they need to continue care at home.
View Article and Find Full Text PDFBackground: In 2011, fee-for-service patients with both Medicare and Medicaid (dual eligible) sustained $319.5 billion in health care costs.
Objective: To describe the emergency department (ED) use and hospital admissions of adult dual eligible patients aged under 65 years who used an urban safety net hospital.