A5058635357- Gastrointestinal Bleeding Diagnosis and Treatment
- Colorectal Cancer Screening and Detection
- COVID-19 diagnosis using AI
- Health and Well-being Studies
- Artificial Intelligence in Healthcare
- Breastfeeding Practices and Influences
- Technology Adoption and User Behaviour
- Nursing Diagnosis and Documentation
- Inflammatory Bowel Disease
- Stress and Burnout Research
- Appendicitis Diagnosis and Management
- Primary Care and Health Outcomes
- COVID-19 and Mental Health
- Mobile Health and mHealth Applications
- Healthcare professionals’ stress and burnout
- Economic and Financial Impacts of Cancer
- Electronic Health Records Systems
Shahid Beheshti University of Medical Sciences
2017-2023
Abstract Background The rapid prevalence of coronavirus disease 2019 (COVID‐19) has caused a pandemic worldwide and affected the lives millions. potential fatality led to global public health concerns. Apart from clinical practice, artificial intelligence (AI) provided new model for early diagnosis prediction based on machine learning (ML) algorithms. In this study, we aimed make prognosis COVID‐19 patients using data mining techniques. Methods set was obtained intelligent management system...
Background: Job burnout is a prolonged response to chronic emotional and interpersonal stressors. Objectives: This study aimed evaluate job identify its effective predictors among health sector employees during the COVID-19 pandemic. Methods: cross-sectional encompassed 1898 of Shahid Beheshti University Medical Sciences in summer 2020. Logistic regression was used determine factors associated with burnout. The required data were collected electronically using Maslach Burnout Inventory (MBI)...
BACKGROUND With an increase in the prevalence and incidence of inflammatory bowel diseases (IBDs), they have become a global challenge. The IBD registry provides complete timely data, thereby greatly contributing to estimation burden these development control prevention programs. We aimed develop software. METHODS present applied-developmental study had two main stages: determining user requirements, developing software was created using Web-based technology called ASP.NET Core 2....
Background: Nurses' health is often accompanied by various dangers due to the nature of their career.Therefore, it required monitor health.Based on designing any system, users' views should be investigated relative usefulness, necessity and acceptance system.Then, a implementing process conducted.Objective: To investigate nurses' accepting creation Health Monitoring System.Methods: This cross-sectional study was conducted in 2015.Sample size 586 nurses Shahid Beheshti University Medical...
Background & Objective: There are a lot of apps for pregnancy care using mHealth technologies. However, it has not been studied which criteria in these essential increasing the quality programs pregnant women. Thus this study aimed to review desirable features mobile-based applications and provide model evaluate existing applications.Materials Methods: Features app were designed qualitative approach. In research, an open questionnaire was developed. Obstetricians gynecologists filled out...