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: Childhood obesity and metabolic syndrome are fast becoming major health challenges worldwide, although the estimates of prevalence rates vary largely due to the varying definitions, popula

Background: Migraine is a common neurological disorder that may be triggered by lifestyle changes, including fasting during Ramadan. Although many patients report worsening symptoms during fasting, ev

Hypertension is the most common medical condition during pregnancy and is classified into four types: chronic hypertension, gestational hypertension, pre-eclampsia, and pre-eclampsia superimposed on c

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

Migraine is a common, debilitating neurological disorder characterized by recurrent, severe headaches often accompanied by a range of neurological, gastrointestinal, and autonomic symptoms. This revie

Background: Emerging evidence suggests that the gut microbiome plays a critical role in the pathophysiology of psychiatric disorders, particularly depression and anxiety. At the same time, behavioral

Background: Depressive symptoms in medical students are a recent public health issue, and academic pressure, emotional exhaustion, and disturbances in lifestyle are very strong predisposing factors. A

Background: Hypertension is a significant global health concern due to its high prevalence and its association with increased morbidity and mortality. Methods: A retrospective observational study was