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Decision Support Framework for Home Health Caregiver Allocation Using Optimally Tuned Spectral Clustering and Genetic Algorithm
April 30, 2024, 4:44 a.m. | Seyed Mohammad Ebrahim Sharifnia, Faezeh Bagheri, Rupy Sawhney, John E. Kobza, Enrique Macias De Anda, Mostafa Hajiaghaei-Keshteli, Michael Mirrielees
cs.LG updates on arXiv.org arxiv.org
Abstract: Population aging is a global challenge, leading to increased demand for health care and social services for the elderly. Home Health Care (HHC) is a vital solution to serve this segment of the population. Given the increasing demand for HHC, it is essential to coordinate and regulate caregiver allocation efficiently. This is crucial for both budget-optimized planning and ensuring the delivery of high-quality care. This research addresses a fundamental question in home health agencies (HHAs): …
abstract aging algorithm arxiv challenge clustering cs.lg decision decision support demand elderly framework global health health care home population segment serve services social solution support type vital
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