Machine learning algorithm for characterizing risks of hypertension, at an early stage in Bangladesh.

Journal: Diabetes & metabolic syndrome
Published Date: Jan 1, 2021

Abstract

BACKGROUND AND AIMS: Hypertension has become a major public health issue as the prevalence and risk of premature death and disability among adults due to hypertension has increased globally. The main objective is to characterize the risk factors of hypertension among adults in Bangladesh using machine learning (ML) algorithms.

Authors

  • Md Merajul Islam
    Department of Statistics, University of Rajshahi, Rajshahi, 6205, Bangladesh. Electronic address: merajul.stat4811@gmail.com.
  • Md Jahanur Rahman
    Department of Statistics, University of Rajshahi, Rajshahi, Bangladesh.
  • Dulal Chandra Roy
    Department of Statistics, University of Rajshahi, Rajshahi, 6205, Bangladesh. Electronic address: dulalroystat@yahoo.com.
  • Most Tawabunnahar
    Department of Statistics, Jatiya Kabi Kazi Nazrul Islam University, Mymensingh 2220, Bangladesh. Electronic address: tnrupa.7777@gmail.com.
  • Rubaiyat Jahan
    Institution of Education and Research, University of Rajshahi, Rajshahi 6205, Bangladesh. Electronic address: rubaiyat.jahan@ru.ac.bd.
  • N A M Faisal Ahmed
    Institution of Education and Research, University of Rajshahi, Rajshahi 6205, Bangladesh. Electronic address: fahmed889@gmail.com.
  • Md Maniruzzaman
    Department of Statistics, University of Rajshahi, Rajshahi, Bangladesh. Electronic address: monir.stat91@gmail.com.

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