International Cardiovascular Research Journal
The Official Annually Journal of Cardiovascular Research Center, Shiraz University of Medical Sciences
Scopus by Title (Ref)
1. Machine and deep learning techniques for the prediction of diabetics: a review
- Modak S.K.S. , et al.
2. Ten-year Atherosclerosis Cardiovascular Disease (ASCVD) risk score and its components among nomadic population in southern Iran: A population-based study
- Moradi Ardekani F. , et al.
3. Effect of fasting on cardiovascular risk factors among healthy adult Muslims attending primary care, Kano, Northern Nigerian
- Abdulkadir Z. , et al.
4. The association between low carbohydrate dietary score (LCDS) and cardiovascular risk factors: results from the Shiraz Heart Study (SHS)
- Mosallanezhad Z. , et al.
5. A cohort study on the predictive capability of body composition for diabetes mellitus using machine learning
- Nematollahi M.A. , et al.
6. Clinical applications of artificial intelligence in diabetes management: A bibliometric analysis and comprehensive review
- Daza A. , et al.
7. Applying AI to manage acute and chronic clinical condition
- Hagan R. , et al.
8. A Decade of Epidemiological Transition of Cardiovascular Risk Factors in South of Iran (Two Population-Based Cross-Sectional Studies)
- Nowbandegani S.J. , et al.
9. Application of artificial intelligence in community-based primary health care: Systematic scoping review and critical appraisal
- Rahimi S.A. , et al.
10. Accuracy comparison of the data mining classification techniques for the diabetic disease prediction
- Garg R. , et al.
11. Detection of Coronary Artery Disease by an Erectile Dysfunction Questionnaire
- Sayadi M. , et al.
12. Finger state progress model for virtual fine motor stroke rehabilitation
- Iberahim M.A.I. , et al.
14. Artificial intelligence applications in type 2 diabetes mellitus care: Focus on machine learning methods
- Abhari S. , et al.
15. The discovery of major heart risk factors among young patients with ischemic heart disease using k-means techniques
- Sistani S. , et al.
16. Adaptive divergence weight firefly algorithm (ADWFA) with improved k-means algorithm and adaptive neuro fuzzy inference system (ANFIS) for type 2 diabetes mellitus prediction
- Ashok Kumar M. , et al.
17. Implementation of Chi Square Automatic Interaction Detection (CHAID) Method to Identify Type 2 Diabetes Mellitus in Tuberculosis Patient. A Case Study in Cipto Mangunkusumo Hospital
- Siswantining T. , et al.