Krahasoni metodat

	Model i Parashikimit të Ri-shtrimit në Spital	Modeli i Zënies së Shtretërve në Spital
Fusha	Menaxhimi i kujdesit shëndetësor	Menaxhimi i kujdesit shëndetësor
Familja	Process / pipeline	Process / pipeline
Viti i origjinës	1998	2000
Krijuesi	Healthcare data analytics and outcomes research	Healthcare operations researchers
Lloji	Logistic regression and machine learning methodology	Stochastic simulation and time-series forecasting
Burimi themelues	Jencks, S. F., Williams, M. V., & Coleman, E. A. (2009). Rehospitalizations among patients in the Medicare fee-for-service program. New England Journal of Medicine, 360(14), 1418–1428.	Tikk, D., Kóczy, L. T., & Gedeon, T. D. (2003). A survey on fuzzy relational equations and their applications in web intelligence. In W. Pedrycz (Ed.), Handbook of Granular Computing (pp. 521–542). John Wiley & Sons.
Emërtime të tjera	Readmission Risk Prediction, Hospital Readmission Forecasting	Bed Occupancy Forecasting, Hospital Census Prediction
Të lidhura	5	5
Përmbledhja	Hospital readmission prediction models use statistical and machine learning techniques to identify patients at high risk of returning to the hospital shortly after discharge. These models guide targeted discharge planning and follow-up to improve outcomes and reduce costs.	Hospital bed occupancy models forecast the number of occupied beds at future times by analyzing admission patterns, length of stay distributions, and discharge dynamics. These models support tactical decisions about staffing, supply chain management, and strategic decisions about capacity expansion.