Conditional phase-type distributions for modelling patient length of stay in hospital

DOI10.1111/1475-3995.00428zbMath1046.60014OpenAlexW1986407267MaRDI QIDQ4814096

Adele H. Marshall, Sally McClean

Publication date: 7 September 2004

Published in: International Transactions in Operational Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/1475-3995.00428

zbMATH Keywords

stochastic processesdistributionsMarkov processesartificial intelligenceresource allocationstatisticshealth services

Mathematics Subject Classification ID

Probability distributions: general theory (60E05)

Related Items (8)

A stochastic model for the patient-bed assignment problem with random arrivals and departures ⋮ Experimenting with the Coxian phase-type distribution to uncover suitable fits ⋮ Laws of large numbers for non-homogeneous Markov systems ⋮ A fully Bayesian approach to inference for Coxian phase-type distributions with covariate dependent mean ⋮ Computational learning of the conditional phase-type (C-Ph) distribution. Learning C-Ph distributions ⋮ Simulating Coxian phase-type distributions for patient survival ⋮ Queue hurdle Coxian phase-type model for two-stage process of population-based cancer screening ⋮ Evaluating readmission rates and discharge planning by analyzing the length-of-stay of patients

Cites Work

• A Simplex Method for Function Minimization
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