Estimation of disease progression for ischemic heart disease using latent Markov with covariates-Reference-Cited by-同舟云学术

Estimation of disease progression for ischemic heart disease using latent Markov with covariates

Published:2022-06-27 Issue:1 Volume:16 Page:16-28
ISSN:1932-1864
Container-title:Statistical Analysis and Data Mining: The ASA Data Science Journal
language:en
Short-container-title:Statistical Analysis

Author:

Oflaz Zarina¹^ORCID,Yozgatligil Ceylan²,Selcuk‐Kestel A. Sevtap³

Affiliation:

1. Department of Insurance and Social Security KTO Karatay University Konya Turkey

2. Department of Statistics Middle East Technical University Ankara Turkey

3. Institute of Applied Mathematics Middle East Technical University Ankara Turkey

Publisher

Wiley

Subject

Computer Science Applications,Information Systems,Analysis

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/sam.11589

Reference36 articles.

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2. Assessing chronic disease progression using non-homogeneous exponential regression Markov models: an illustration using a selective breast cancer screening in Taiwan

3. A Reliability Model for the Progression of Chronic Heart Failure

4. Estimation of progression of multi-state chronic disease using the Markov model and prevalence pool concept

5. Y.Wang X.Zhou A.Noulas C.Mascolo X.Xie E.Chen Predicting the spatio‐temporal evolution of chronic diseases in population with human mobility data Proceedings of 27th international joint conference on artificial intelligence 2018 International Joint Conferences on Artificial Intelligence pp.3578–3584.

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