| Predicting COVID-19 Incidence Through Analysis of Google Trends Data in Iran: Data Mining and Deep Learning Pilot Study SM Ayyoubzadeh, SM Ayyoubzadeh, H Zahedi, M Ahmadi, ... JMIR Public Health Surveill 6 (2), 1-9, 2020 | 420 | 2020 |
| Intelligent tutoring systems: a systematic review of characteristics, applications, and evaluation methods E Mousavinasab, N Zarifsanaiey, S R. Niakan Kalhori, M Rakhshan, ... Journal of Interactive Learning Environments, https://doi.org/10.1080 …, 2018 | 288 | 2018 |
| Criteria for assessing the quality of mHealth apps: a systematic review R Nouri, SR Niakan Kalhori, M Ghazisaeedi, G Marchand, M Yasini Journal of the American Medical Informatics Association, 2018 | 203 | 2018 |
| Comparing performance of data mining algorithms in prediction heart diseases M Abdar, SRN Kalhori, T Sutikno, IMI Subroto, G Arji Deakin University, 2015 | 168 | 2015 |
| MRI-based brain tumor detection using convolutional deep learning methods and chosen machine learning techniques S Saeedi, S Rezayi, H Keshavarz, S Rostam Niakan Kalhori BMC Medical Informatics and Decision Making 23 (16), 1-17, 2023 | 150 | 2023 |
| Prevalence of Stroke Risk Factors and Their Distribution Based on Stroke Subtypes in Gorgan: A Retrospective Hospital‐Based Study—2015‐2016 M Habibi-Koolaee, L Shahmoradi, SR Niakan Kalhori, H Ghannadan, ... Neurology research international 2018 (1), 2709654, 2018 | 110 | 2018 |
| Artificial Intelligence Applications in Type 2 Diabetes Mellitus Care: Focus on Machine Learning Methods S Abhari, S R. Niakan Kalhori, M Ebrahimi, H Hasannejadasl, A Garavand Healthcare Informatics Research 25 (4), 248-261, 2019 | 86 | 2019 |
| Application of Spatio-temporal Model to Estimate Burden of Diseases, Injuries and Risk Factors in Iran 1990 – 2013 Mahboubeh Parsaeian, Farshad Farzadfar, Hojjat Zeraati, Mahmood Mahmoudi ... Archives of Iranian Medicine 17 (01), 28-32, 2014 | 77* | 2014 |
| A clinical decision support system for prediction of pregnancy outcome in pregnant women with systemic lupus erythematosus K Paydar, SRN Kalhori, M Akbarian, A Shiekhtaheri International Journal of Medical Informatics 11 (1), 2016 | 74 | 2016 |
| Digital health solutions to control the COVID-19 pandemic in countries with high disease prevalence: literature review S R Niakan Kalhori, K Bahaadinbeigy, K Deldar, M Gholamzadeh, ... Journal of medical Internet research 23 (3), e19473, 2021 | 72 | 2021 |
| A review and content analysis of national apps for COVID-19 management using Mobile Application Rating Scale (MARS) S Salehinejad, S R. Niakan Kalhori, S Hajesmaeel-Gohari, ... Informatics for Health and Social Care 1 (1), 1-14, 2020 | 55 | 2020 |
| A Comparative Study of Perceived Social Support and Self-Efficacy among Women with Wanted and Unwanted Pregnancy P Shahry, S R. Niakan Kalhori, A Esfandiyari, F Zamani-Alavijeh International Journal of Community Based Nursing and Midwifery (IJCBNM) 4 (2 …, 2016 | 54 | 2016 |
| Bayesian Autoregressive Multilevel Modeling of Burden of Diseas-es, Injuries and Risk Factors in Iran 1990–2013 A KASAEIAN, MR ESHRAGHIAN, A RAHIMI FOROUSHANI, ... Archives of Iranian medicine 17 (1), 22, 2014 | 47 | 2014 |
| A logistic regression model to predict high risk patients to fail in tuberculosis treatment course completion S R Niakan Kalhori, M Nasehi, XJ Zeng IAENG International Journal of Applied Mathematics 40 (2), 102-107, 2010 | 45 | 2010 |
| Evaluation and comparison of different machine learning methods to predict outcome of tuberculosis treatment course SRN Kalhori, XJ Zeng Journal of Intelligent Learning Systems and Applications 5 (03), 184-193, 2013 | 40 | 2013 |
| A Systematic Review of Nutrition Recommendation Systems: With Focus on Technical Aspects S Abhari, R Safdari, L Azadbakht, KB Lankarani, SR Niakan Kalhori, ... Journal of Physics and Engineering 9 (6), 591-602, 2019 | 39 | 2019 |
| Comparison of neural network training algorithms for classification of heart diseases H Karim, SR Niakan, R Safdari IAES International Journal of Artificial Intelligence 7 (4), 185, 2018 | 38 | 2018 |
| Predicting Length of Stay in Intensive Care Units after Cardiac Surgery: Comparison of Artificial Neural Networks and Adaptive Neuro-fuzzy System H Maharlou, SR Niakan Kalhori, S Shahbazi, R Ravangard Healthcare Informatics Research 24 (2), 109-117, 2018 | 37 | 2018 |
| Web and Mobile Based HIV Prevention and Intervention Programs Pros and Cons-A Review S Niakan, E Mehraeen, T Noori, E Gozali Study of Health Technoly Informtion 236 (1), 319-327, 2017 | 37 | 2017 |
| Systematic Review of Hospital Based Cancer Registries (HBCRs): Necessary Tool to Improve Quality of Care in Cancer Patients Z Mohammadzadeh, M Ghazisaeedi, A Nahvijou, ... Asian Pacific Journal of Cancer Prevention 18 (8), 2017 | 36 | 2017 |
Farhad Fatehi, MD, PhD, FIAHSIThe University of QueenslandVerified email at uq.edu.au
