[HTML][HTML] A systematic review of the prediction of hospital length of stay: Towards a unified framework

K Stone, R Zwiggelaar, P Jones… - PLOS Digital …, 2022 - journals.plos.org
Hospital length of stay of patients is a crucial factor for the effective planning and
management of hospital resources. There is considerable interest in predicting the LoS of …

Length of stay-based patient flow models: recent developments and future directions

A Marshall, C Vasilakis, E El-Darzi - Health care management science, 2005 - Springer
Modelling patient flow in health care systems is vital in understanding the system activity and
may therefore prove to be useful in improving their functionality. An extensively used …

[BOOK][B] Matrix-exponential distributions in applied probability

M Bladt, BF Nielsen - 2017 - Springer
Matrix-Exponential Distributions in Applied Probability Page 1 Probability Theory and
Stochastic Modelling 81 Mogens Bladt Bo Friis Nielsen Matrix-Exponential Distributions in …

Patient length of stay and mortality prediction: a survey

A Awad, M Bader–El–Den… - Health services …, 2017 - journals.sagepub.com
Over the past few years, there has been increased interest in data mining and machine
learning methods to improve hospital performance, in particular hospitals want to improve …

Insights from a machine learning model for predicting the hospital Length of Stay (LOS) at the time of admission

L Turgeman, JH May, R Sciulli - Expert Systems with Applications, 2017 - Elsevier
A model that accurately predicts, at the time of admission, the Length of Stay (LOS) for
hospitalized patients could be an effective tool for healthcare providers. It could enable early …

A queueing model for bed-occupancy management and planning of hospitals

F Gorunescu, SI McClean, PH Millard - Journal of the operational …, 2002 - Taylor & Francis
The aim of this paper is, on the one hand, to describe the movement of patients through a
hospital department by using classical queueing theory and, on the other hand, to present a …

Modelling healthcare systems with phase-type distributions

M Fackrell - Health care management science, 2009 - Springer
Phase-type distributions constitute a very versatile class of distributions. They have been
used in a wide range of stochastic modelling applications in areas as diverse as …

Modelling variability in hospital bed occupancy

GW Harrison, A Shafer, M Mackay - Health Care Management Science, 2005 - Springer
A stochastic version of the Harrison—Millard multistage model of the flow of patients through
a hospital division is developed in order to model correctly not only the average but also the …

A non-homogeneous discrete time Markov model for admission scheduling and resource planning in a cost or capacity constrained healthcare system

L Garg, S McClean, B Meenan, P Millard - Health care management …, 2010 - Springer
Healthcare resource planners need to develop policies that ensure optimal allocation of
scarce healthcare resources. This goal can be achieved by forecasting daily resource …

Using Coxian phase-type distributions to identify patient characteristics for duration of stay in hospital

AH Marshall, SI McClean - Health Care Management Science, 2004 - Springer
Coxian phase-type distributions are a special type of Markov model that describes duration
until an event occurs in terms of a process consisting of a sequence of latent phases. This …