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J Nephropharmacol. 2019;8(1): e04. doi: 10.15171/npj.2019.04

Original

Multistate Markov model for predicting the natural disease progression of type 2 diabetes based on hemoglobin A1c

Komal Goel 1 * , Gurprit Grover 2, Ankita Sharma 1, Sejong Bae 3

Cited by CrossRef: 4


1- Varshney M, Sharma A, Goel K, Ravi V, Grover G. Estimation of transition probabilities for diabetic patients using hidden Markov model. Int J Syst Assur Eng Manag. 2020;11(S2):329 [Crossref]
2- Asbaghi O, Moodi V, Neisi A, Shirinbakhshmasoleh M, Abedi S, Oskouie F, Eslampour E, Ghaedi E, Miraghajani M. The effect of almond intake on glycemic control: A systematic review and dose–response meta‐analysis of randomized controlled trials. Phytotherapy Research. 2022;36(1):395 [Crossref]
3- Moodi V, Abedi S, Esmaeilpour M, Asbaghi O, Izadi F, Shirinbakhshmasoleh M, Behrouzian M, Shahriari A, Ghaedi E, Miraghajani M. The effect of grapes/grape products on glycemic response: A systematic review and meta‐analysis of randomized controlled trials. Phytotherapy Research. 2021;35(9):5053 [Crossref]
4- Rao P, Narendra S. Two layered hidden Markov model for studying type 2 diabetes. Int J Syst Assur Eng Manag. 2024; [Crossref]
5- Jalili C, Moradi S, Babaei A, Boozari B, Asbaghi O, Lazaridi A, Hojjati Kermani M, Miraghajani M. Effects of Cynara scolymus L. on glycemic indices:A systematic review and meta-analysis of randomized clinical trials. Complementary Therapies in Medicine. 2020;52:102496 [Crossref]