Data-driven dynamic treatment planning for chronic diseases
Year of publication: |
2023
|
---|---|
Authors: | Naumzik, Christof ; Feuerriegel, Stefan ; Nielsen, Anne Molgaard |
Published in: |
European journal of operational research : EJOR. - Amsterdam : Elsevier, ISSN 0377-2217, ZDB-ID 243003-4. - Vol. 305.2023, 2 (1.3.), p. 853-867
|
Subject: | Machine learning | Treatment regimen | Copula | Bayesian modeling | Hidden Markov model | Markov-Kette | Markov chain | Bayes-Statistik | Bayesian inference | Multivariate Verteilung | Multivariate distribution | Theorie | Theory | Künstliche Intelligenz | Artificial intelligence |
-
A non-linear forecast combination procedure for binary outcomes
Lahiri, Kajal, (2015)
-
Schwartz, Eric M., (2014)
-
Machine learning econometrics : Bayesian algorithms and methods
Korobilis, Dimitris, (2020)
- More ...
-
Forecasting electricity prices with machine learning : predictor sensitivity
Naumzik, Christof, (2020)
-
Forecasting Electricity Prices With Machine Learning : Predictor Sensitivity
Naumzik, Christof, (2020)
-
I will survive : predicting business failures from customer ratings
Naumzik, Christof, (2022)
- More ...