IET Syst Biol
December 2024
Artificial Intelligence is playing a crucial role in healthcare by enhancing decision-making and data analysis, particularly during the COVID-19 pandemic. This virus affects individuals across all age groups, but its impact is more severe on the elderly and those with underlying health issues like chronic diseases. This study aimed to develop a machine learning model to improve the prediction of COVID-19 in patients with acute respiratory symptoms.
View Article and Find Full Text PDFBackground: Guillain-Barre syndrome (GBS) is an inflammatory polyradiculoneuropathy characterized by rapidly evolving weakness and areflexia, reaching nadir within 4 weeks. Data on the characteristic of GBS in Saudi Arabia are limited. This study aimed to describe the clinical, electrophysiological, and laboratory characteristics and outcome of a multicenter cohort of patients with GBS.
View Article and Find Full Text PDFBackground: The revised 15-item Myasthenia Gravis (MG) Quality of Life Questionnaire (MGQoL15R) is a validated scale of quality of life in patients with MG. We aimed to study the factors causing the variability within the Arabic version of the MGQoL15R (MGQoL15R-A).
Method: A standardized questionnaire was completed by 118 patients.
Objective: To descriptively assess Epilepsy Monitoring Units (EMUs) and the provided services in Saudi Arabia and compare them based on the geographic region.
Methods: In this cross-sectional study, an electronic questionnaire was emailed to all directors of EMUs in Saudi Arabia from July 2013 to January 2016, with constant updates being made by all respondents throughout the period of data collection.
Results: All EMU directors participated.
Aim: Studies on multiple sclerosis in Saudi Arabia remain scant, particularly studies on the psychological aspects. This study measures severities of depression, anxiety and stress, and compares them to the used disease-modifying treatment.
Materials & Methods: Cross-sectional study using a phone questionnaire targeting 452 Saudi patients with relapsing-remitting multiple sclerosis following in King Khalid University Hospital, King Fahad Medical City or Security Forces Hospital.