Claims data-driven modeling of hospital time-to-readmission risk with latent heterogeneity
Year of publication: |
2019
|
---|---|
Authors: | Chen, Suiyao ; Kong, Nan ; Sun, Xuxue ; Meng, Hongdao ; Li, Mingyang |
Published in: |
Health care management science. - Norwell, Mass. [u.a.] : Springer Science + Business Media, ISSN 1386-9620, ZDB-ID 1469148-6. - Vol. 22.2019, 1, p. 156-179
|
Subject: | Hospital readmission | Latent heterogeneity | Predictive modeling | Aggregate-level performance | Administrative claims data | Krankenhaus | Hospital | Prognoseverfahren | Forecasting model |
-
Prediction modeling and pattern recognition for patient readmission
Golmohammadi, Davood, (2016)
-
Predictive analytics model for healthcare planning and scheduling
Harris, Shannon L., (2016)
-
Can targeting high-risk patients reduce readmission rates? : evidence from Israel
Shadmi, Efrat, (2020)
- More ...
-
Investing with cryptocurrencies - A liquidity constrained investment approach
Trimborn, Simon, (2017)
-
Sequential selection for accelerated life testing via approximate Bayesian inference
Chen, Ye, (2021)
-
Share‐loan pledging and relaxation of share‐repurchase restrictions in China
Guo, Qi, (2021)
- More ...