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Azar Kazemi
Azar Kazemi
Technical University of Munich, Munich, Germany
Verified email at tum.de - Homepage
Title
Cited by
Cited by
Year
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
1122020
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
222019
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
112022
What is Digital Health
F Fatehi, M Samadbeik, A Kazemi
Review of, 2020
102020
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
92019
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
42021
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
32021
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
32018
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
22023
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
22019
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
22014
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
12023
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
12019
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
12018
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
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