Pages that link to "Item:Q5318363"
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The following pages link to Modelling nationwide hospital length of stay: opening the black box (Q5318363):
Displaying 16 items.
- Using phase-type models to cost stroke patient care across health, social and community services (Q299873) (← links)
- Predictive analytics model for healthcare planning and scheduling (Q323123) (← links)
- Combining optimization with simulation to obtain credible models for intensive care units (Q478045) (← links)
- An analysis of the length of hospital stay for cataract patients in Japan using the discrete-type proportional hazard model (Q834319) (← links)
- Modelling the effects of the Austrian inpatient reimbursement system on length-of-stay distributions (Q1402411) (← links)
- Modelling inpatient length of stay by a hierarchical mixture regression via the EM algorithm. (Q1410978) (← links)
- Modelling activities at a neurological rehabilitation unit (Q2253570) (← links)
- Capacity planning of a perinatal network with generalised loss network model with overflow (Q2255899) (← links)
- Evaluating readmission rates and discharge planning by analyzing the length-of-stay of patients (Q2329891) (← links)
- Stochastic grey-box modeling of queueing systems: fitting birth-and-death processes to data (Q2339934) (← links)
- Analysing data on lengths of stay of hospital patients using phase-type distributions (Q2711699) (← links)
- An Extended Mixture Distribution Survival Tree for Patient Pathway Prognostication (Q2862297) (← links)
- Modelling the flow of congestive heart failure patients through a hospital system (Q3590872) (← links)
- Costing Mixed Coxian Phase-type Systems with Poisson Arrivals (Q5419658) (← links)
- Length of stay as a performance indicator: robust statistical methodology (Q5427764) (← links)
- An alternative formulation of Coxian phase-type distributions with covariates: application to emergency department length of stay (Q6627687) (← links)
