Profiling readmissions using hidden Markov model : the case of congestive heart failure
Ofir Ben-Assuli, Tsipi Heart, Joshua R. Vest, Roni Ramon-Gonen, Nir Shlomo, and Robert Klempfner
| Year of publication: |
2021
|
|---|---|
| Authors: | Ben-Assuli, Ofir ; Heart, Tsipi ; Vest, Joshua R. ; Ramon-Gonen, Roni ; Shlomo, Nir ; Klempfner, Robert |
| Published in: |
Information systems management. - London [u.a.] : Taylor & Francis, ISSN 1934-8703, ZDB-ID 2069986-4. - Vol. 38.2021, 3, p. 237-249
|
| Subject: | Applying machine learning | congestive heart failure | Hidden Markov Models (HMM) | readmission | utilizing predictive analytics | Theorie | Theory | Markov-Kette | Markov chain | Engpass | Bottleneck | Prognoseverfahren | Forecasting model |
Online Resource
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1080/10580530.2020.1847362 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10012584465