Power of machine learning algorithms for predicting dropouts from a German telemonitoring program using standardized claims data
Year of publication: |
[2021]
|
---|---|
Authors: | Hofer, Florian ; Birkner, Benjamin ; Spindler, Martin |
Publisher: |
Hamburg, Germany : Hamburg Center for Health Economics |
Subject: | Prognoseverfahren | Forecasting model | Deutschland | Germany | Algorithmus | Algorithm | Künstliche Intelligenz | Artificial intelligence |
Extent: | 1 Online-Ressource (circa 24 Seiten) Illustrationen |
---|---|
Series: | HCHE research papers. - Hamburg : Hamburg Center for Health Economics, ISSN 2192-2519, ZDB-ID 2633170-6. - Vol. no: 24 (2021) |
Type of publication: | Book / Working Paper |
Type of publication (narrower categories): | Graue Literatur ; Non-commercial literature |
Language: | English |
Other identifiers: | hdl:10419/246585 [Handle] |
Source: | ECONIS - Online Catalogue of the ZBW |
-
Can unbiased predictive AI amplify bias?
Khan, Tanvir Ahmed, (2023)
-
Sharma, Moolchand, (2022)
-
Box office forecasting using machine learning algorithms based on SNS data
Kim, Taegu, (2015)
- More ...
-
Hofer, Florian, (2021)
-
Hofer, Florian, (2009)
-
Management der Filiallogistik im stationären Einzelhandel : eine ressourcenorientierte Betrachtung
Hofer, Florian, (2009)
- More ...