Estimation of transition probabilities for diabetic patients using hidden Markov model-Reference-Cited by-同舟云学术

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Estimation of transition probabilities for diabetic patients using hidden Markov model

Published:2020-02-08 Issue:S2 Volume:11 Page:329-334
ISSN:0975-6809
Container-title:International Journal of System Assurance Engineering and Management
language:en
Short-container-title:Int J Syst Assur Eng Manag

Author:

Varshney Manoj Kumar^ORCID,Sharma Ankita^ORCID,Goel Komal^ORCID,Ravi Vajala^ORCID,Grover Gurprit^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Strategy and Management,Safety, Risk, Reliability and Quality

Link

http://link.springer.com/content/pdf/10.1007/s13198-020-00950-7.pdf

Reference19 articles.

1. American Diabetes Association (2017) 2. Classification and diagnosis of diabetes. Diabetes Care 40(Supplement 1):S11–S24

2. Bartolomeo N, Trerotoli P, Serio G (2011) Progression of liver cirrhosis to HCC: an application of hidden Markov model. BMC Med Res Methodol 11(1):38

3. Baum LE, Petrie T, Soules G, Weiss N (1970) A maximization technique occurring in the statistical analysis of probabilistic functions of Markov chains. Ann Math Stat 41(1):164–171

4. Goel K, Grover G, Sharma A, Bae S (2018) Multistate Markov model for predicting the natural disease progression of type 2 diabetes based on hemoglobin A1c. J Nephropharmacol 8(1):4

5. Grover G, Sabharwal A, Kumar S, Thakur AK (2019) On the estimation of misclassification probabilities of chronic kidney disease using continuous time hidden Markov models. J Nephropharmacol 8(1):e7

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Hidden Markov Model - Applications, Strengths, and Weaknesses;2024 2nd International Conference on Device Intelligence, Computing and Communication Technologies (DICCT);2024-03-15

2. MULTILEVEL HIDDEN MARKOV MODELS FOR STUDYING TYPE-1 DIABETES;JP Journal of Biostatistics;2024-02-05

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