Predicting high blood pressure using machine learning models in low- and middle-income countries

Author:

Bisong Ekaba,Jibril Noor,Premnath Preethi,Buligwa Elsy,Oboh George,Chukwuma Adanna

Publisher

Springer Science and Business Media LLC

Reference26 articles.

1. World Health Organization, et al. Noncommunicable diseases progress monitor. 2022. https://iris.who.int/bitstream/handle/10665/353048/9789240047761-eng.pdf.

2. Centers for Disease Control and Prevention. About Global NCDs. 2021. https://www.cdc.gov/globalhealth/healthprotection/ncd/global-ncd-overview.html#one. Accessed 6 July 2024.

3. UNICEF. Non-communicable diseases. 2023. https://www.unicef.org/health/non-communicable-diseases. Accessed 6 July 2024.

4. Aikaeli F, Njim T, Gissing S, Moyo F, Alam U, Mfinanga SG, et al. Prevalence of microvascular and macrovascular complications of diabetes in newly diagnosed type 2 diabetes in low-and-middle-income countries: A systematic review and meta-analysis. PLOS Global Public Health. 2022;2(6):e0000599.

5. Gheorghe A, Griffiths U, Murphy A, Legido-Quigley H, Lamptey P, Perel P. The economic burden of cardiovascular disease and hypertension in low-and middle-income countries: a systematic review. BMC Public Health. 2018;18(1):1–11.

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