Using Machine Learning to Identify Geographic and Socioeconomic Disparities in Dialysis Facility Outcomes Across the United States - Ashkar, Ziad M.; Gottumukkala, Raju (The Ochsner journal, 2025)
Keywords: Algorithms; Anemia; Artificial intelligence; Censuses; Cluster analysis; Clustering; Datasets; Demographics; Health care access; Hemodialysis; Hospitalization; Machine learning; Mortality; Patients; Peritoneal dialysis; Principal components analysis; Regions; Sociodemographics; Socioeconomic factors; Support vector machines; United States--US; socioeconomic factors; geographic information systems; health status disparities; Dialysis; machine learning