Optimizing hospital-wide patient scheduling : early classification of diagnosis-related groups through machine learning
Daniel Gartner
| Year of publication: |
2014
|
|---|---|
| Authors: | Gartner, Daniel |
| Publisher: |
Cham : Springer |
| Subject: | Krankheit | Disease | Klassifikation | Classification | Krankenhaus | Hospital | Prozessmanagement | Business process management | Scheduling-Verfahren | Scheduling problem | Diagnosis-related-groups-Konzept | Computerunterstütztes Verfahren | Patient | Terminplanung | Ablaufplanung |
| Description of contents: | Table of Contents [gbv.de] |
| Extent: | XIV, 119 S. graph. Darst. 24 cm |
|---|---|
| Series: | Lecture notes in economics and mathematical systems : LNEMS. - Cham : Springer, ISSN 0075-8442, ZDB-ID 121369-6. - Vol. 674 |
| Type of publication: | Book / Working Paper |
| Type of publication (narrower categories): | Hochschulschrift ; Thesis |
| Language: | English |
| Thesis: | Zugl.: München, Techn. Univ., Diss., 2013 |
| Notes: | Literaturverz. S. 109 - 119 |
| ISBN: | 978-3-319-04065-3 ; 3-319-04065-0 ; 978-3-319-04066-0 |
| Classification: | Medizinische Mathematik, medizinische Statistik ; Methoden und Techniken der Betriebswirtschaft ; Angewandte Mathematik |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10011285669