Predicting 1-year mortality of patients with diabetes mellitus in Kazakhstan based on administrative health data using machine learning
Abstract Diabetes mellitus (DM) affects the quality of life and leads to disability, high morbidity, and premature mortality. DM is a risk factor for cardiovascular, neurological, and renal diseases, and places a major burden on healthcare systems globally. Predicting the one-year mortality of patie...
Main Authors: | Aidar Alimbayev, Gulnur Zhakhina, Arnur Gusmanov, Yesbolat Sakko, Sauran Yerdessov, Iliyar Arupzhanov, Ardak Kashkynbayev, Amin Zollanvari, Abduzhappar Gaipov |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2023-05-01
|
Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-023-35551-4 |
Similar Items
-
Seasonal and epidemiological profile of chickenpox cases in Kazakhstan
by: Sauran Yerdessov, et al.
Published: (2023-02-01) -
Epidemiological characteristics and climatic variability of viral meningitis in Kazakhstan, 2014–2019
by: Sauran Yerdessov, et al.
Published: (2023-01-01) -
The Regional Burden and Disability-Adjusted Life Years of Knee Osteoarthritis in Kazakhstan 2014–2020
by: Gulnur Zhakhina, et al.
Published: (2023-01-01) -
Epidemiology of Arterial Hypertension in Kazakhstan: Data from Unified Nationwide Electronic Healthcare System 2014–2019
by: Sauran Yerdessov, et al.
Published: (2022-02-01) -
Incidence and mortality rates of strokes in Kazakhstan in 2014–2019
by: Gulnur Zhakhina, et al.
Published: (2022-09-01)