What is Digital Health? Review of Definitions F Fatehi, M Samadbeik, A Kazemi Integrated Citizen Centered Digital Health and Social Care: Citizens as Data …, 2020 | 130 | 2020 |
Identifying factors that affect patient survival after orthotopic liver transplant using machine-learning techniques A Kazemi, K Kazemi, A Sami, R Sharifian Exp Clin Transplant 17 (6), 775-783, 2019 | 24 | 2019 |
Prediction of patients with COVID-19 requiring intensive care: a cross-sectional study based on machine-learning approach from Iran G Sabetian, A Azimi, A Kazemi, B Hoseini, N Asmarian, V Khaloo, F Zand, ... Indian Journal of Critical Care Medicine: Peer-reviewed, Official …, 2022 | 14 | 2022 |
What is Digital Health F Fatehi, M Samadbeik, A Kazemi Review of, 2020 | 10 | 2020 |
Association between rs2303861 polymorphism in CD82 gene and non-alcoholic fatty liver disease: a preliminary case-control study P Habibzadeh, B Honarvar, M Silawi, S Bahramjahan, A Kazemi, ... Croatian medical journal 60 (4), 361, 2019 | 9 | 2019 |
Medication Non-adherence Prevalence and Determinants in Children and Adolescents with Chronic Liver Diseases SM Dehghani, A Shamsaeefar, A Kazemi, K Kazemi, A Mashhadiagha, ... Iranian Journal of Pediatrics 31 (3), 2021 | 4 | 2021 |
Investigating Emergency Department Nurses’ Educational Needs and Exploring Strategies to Meet Challenges Against Management of These Needs: A Qualitative Study F Azizi, B Honarvar, Z Molazem, A Kazemi, B Tehranineshat Shiraz E-Medical Journal 24 (3), 2023 | 3 | 2023 |
Hematological and Biochemical Parameters Associated with Mortality in COVID-19 Infection and Their Correlation with Smoking S Sobhani, A Kazemi, F Kalantari, S Soltani, S Vakili, A Yarahmadi, ... Journal of Patient Safety & Quality Improvement 9 (1), 41-46, 2021 | 3 | 2021 |
Comparison of Artificial Neural Network and Decision Tree to Identify and Predict Factors Associated with Type 2 Diabetes F Mirzakhani, A Kazemi, M Rasoulian-Kasrineh, ... Journal of Paramedical Sciences & Rehabilitation 7 (4), 19-32, 2018 | 3 | 2018 |
Assessment of the Tumor–Stroma Ratio and Tumor-Infiltrating Lymphocytes in Colorectal Cancer: Inter-Observer Agreement Evaluation A Kazemi, M Gharib, N Mohamadian Roshan, S Taraz Jamshidi, ... Diagnostics 13 (14), 2339, 2023 | 2 | 2023 |
New and emerging mobile technologies for healthcare (mHealth): A horizon scanning study A Kazemi, H Salmani, A Shakibafard, F Fatehi Frontiers in Health Informatics 8 (1), 17, 2019 | 2 | 2019 |
A Proposed Model for Sustainable Education in E-learning: the Effective Factors A Kazemi, M Nematollahi Magazine of E-learning Distribution In academy (MEDIA) 5 (2), 79-86, 2014 | 2 | 2014 |
New and emerging mobile health (mHealth) technologies and solutions: A horizon scanning study A Kazemi, H Salmani, A Shakibafard, F Fatehi Frontiers in Health Informatics 8 (1), 122-130, 2019 | 1 | 2019 |
New and emerging mobile technologies for health care (mHealth): A horizon scanning review A Kazemi, H Salmani, A Shakibafard, F Fatehi Shiraz E-Medical Journal 19 (Suppl), 2018 | 1 | 2018 |
A systematic review of machine learning-based tumor-infiltrating lymphocytes analysis in colorectal cancer: Overview of techniques, performance metrics, and clinical outcomes A Kazemi, A Rasouli-Saravani, M Gharib, T Albuquerque, S Eslami, ... Computers in Biology and Medicine, 108306, 2024 | | 2024 |
Medication Non-Adherence Among Pediatric Liver Transplant Recipients A Shamsaeefar, N Motazedian, M Sayadi, A Mashhadiagha, A Kazemi, ... Iranian Journal of Pediatrics 33 (5), 2023 | | 2023 |
MEDICATION NON-ADHERENCE PREVALENCE AND DETERMINANTS IN CHILDREN AND ADOLESCENTS WITH CHRONIC LIVER DISEASES SAM Seyed Mohsen Dehghani, Alireza Shamsaeefar, Azar Kazemi, Kourosh Kazemi ... European Society for Organ Transplantation (ESOT) 34 (S1), 321-321, 2021 | | 2021 |
Importance and Need Assessment of Mobile-based Training in The Educational Hospitals Emergencies Nurses: A Content Analysis Qualitative study. B Honarvar, F Azizi, Z Molazem, NJ Moghadam, A Kazemi Journal of Biomedical Physics & Engineering 11, 2021 | | 2021 |
PREDICTING PATIENT SURVIVAL AFTER LIVER TRANSPLANTATION USING DECISION TREE TECHNIQUE K Azar, K Koorosh, S Ashkan, S Roxana 18th Congress of European Society of Organ Transplantation 2017 30 (S1), 432, 2017 | | 2017 |
SURVIVAL PREDICTION OF PATIENTS AFTER LIVER TRANSPLANTATION IN SHIRAZ ORGAN TRANSPLANTATION CENTER USING MACHINE LEARNING A Kazemi, K Kazemi, A Sami, R Sharifian 18th Congress of the European Society for Organ Transplantation 30 (9), 463, 2017 | | 2017 |