Objectives: The objective of the study was to use machine learning (ML) methodology to create prediction models for hypertension based on nationally representative health and demographic surveillance

Background: Malnutrition is a public health concern due to its negative impact on human performance, growth, and development, especially in children. The preschool period is the critical stage of acti

Background: Retrospective comparisons between imaging modalities commonly are confounded by systematic differences between groups between the characteristics of the patients undergoing different tests

Background: Inguinal hernias are among the most frequent conditions encountered surgically worldwide. It is hypothesized that body mass index (BMI) is involved in the occurrence and distribution patte

Background: Cardiovascular diseases are one of the leading causes of mortality and morbidity worldwide, with being the leading cause of death globally, taking an estimated 17.9 million lives each year

Globally, type 2 diabetes (T2D) has almost quadrupled (from one hundred and eight million persons in 1980 to four hundred and twenty-two million persons in 2014). (World Health Organization, 2020). Di

Background: In Kenya, more than a quarter of children under the age of five, or two million children, have malnutrition, which commonly presents in the form of stunting, the most frequent form of unde