An innovative patient clustering method using data envelopment Analysis-Discriminant analysis and artificial neural networks : a case study in healthcare systems
Year of publication: |
2024
|
---|---|
Authors: | Yousefi, Saeed ; Saen, Reza Farzipoor ; Shabanpour, Hadi ; Ghods, Kian |
Published in: |
Socio-economic planning sciences : the international journal of public sector decision-making. - Amsterdam [u.a.] : Elsevier Science, ISSN 0038-0121, ZDB-ID 1491145-0. - Vol. 95.2024, Art.-No. 102054, p. 1-11
|
Subject: | Artificial neural networks | Data envelopment analysis-discriminant analysis | Healthcare systems | Patient clustering | Self-organizing map | Treatment services allocation | Neuronale Netze | Neural networks | Gesundheitswesen | Health care system | Gesundheitsversorgung | Health care | Clusteranalyse | Cluster analysis | Data-Envelopment-Analyse | Data envelopment analysis | Patienten | Patients | Künstliche Intelligenz | Artificial intelligence | Krankenhaus | Hospital | Regionales Cluster | Regional cluster |
-
A service analytic approach to studying patient no-shows
Nasir, Murtaza, (2020)
-
Predicting the length-of-stay of pediatric patients using machine learning algorithms
Boff Medeiros, Natália, (2025)
-
Homogeneity and best practice analyses in hospital performance management : an analytical framework
Zarrin, Mansour, (2022)
- More ...
-
Shabanpour, Hadi, (2021)
-
How to evaluate sustainability of supply chains? A dynamic network DEA approach
Shokri Kahi, Vahid, (2017)
-
Selecting the best supply chain by goal programming and network data envelopment analysis
Yousefi, Saeed, (2015)
- More ...