Abzaliyev, K.; Suleimenova, M.; Chen, S.; Mansurova, M.; Abzaliyeva, S.; Manapova, A.; Kurmanova, A.; Bugibayeva, A.; Sundetova, D.; Bitemirova, R.;
et al. Predicting Cardiovascular Aging Risk Based on Clinical Data Through the Integration of Mathematical Modeling and Machine Learning. Appl. Sci. 2025, 15, 5077.
https://doi.org/10.3390/app15095077
AMA Style
Abzaliyev K, Suleimenova M, Chen S, Mansurova M, Abzaliyeva S, Manapova A, Kurmanova A, Bugibayeva A, Sundetova D, Bitemirova R,
et al. Predicting Cardiovascular Aging Risk Based on Clinical Data Through the Integration of Mathematical Modeling and Machine Learning. Applied Sciences. 2025; 15(9):5077.
https://doi.org/10.3390/app15095077
Chicago/Turabian Style
Abzaliyev, Kuat, Madina Suleimenova, Siming Chen, Madina Mansurova, Symbat Abzaliyeva, Ainur Manapova, Almagul Kurmanova, Akbota Bugibayeva, Diana Sundetova, Raushan Bitemirova,
and et al. 2025. "Predicting Cardiovascular Aging Risk Based on Clinical Data Through the Integration of Mathematical Modeling and Machine Learning" Applied Sciences 15, no. 9: 5077.
https://doi.org/10.3390/app15095077
APA Style
Abzaliyev, K., Suleimenova, M., Chen, S., Mansurova, M., Abzaliyeva, S., Manapova, A., Kurmanova, A., Bugibayeva, A., Sundetova, D., Bitemirova, R., Baizhigitova, N., Abdykassymova, M., & Sagalbayeva, U.
(2025). Predicting Cardiovascular Aging Risk Based on Clinical Data Through the Integration of Mathematical Modeling and Machine Learning. Applied Sciences, 15(9), 5077.
https://doi.org/10.3390/app15095077
