Sharareh R. Niakan Kalhori
Sharareh R. Niakan Kalhori
Research Fellow at PLRI
Verified email at - Homepage
Cited by
Cited by
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
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, …, 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
Comparing performance of data mining algorithms in prediction heart diseases
M Abdar, SRN Kalhori, T Sutikno, IMI Subroto, G Arji
Deakin University, 2015
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, 2018
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
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
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
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
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
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
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
Bayesian Autoregressive Multilevel Modeling of Burden of Diseas-es, Injuries and Risk Factors in Iran 1990–2013
Archives of Iranian medicine 17 (1), 22, 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
Evaluation and comparison of different machine learning methods to predict outcome of tuberculosis treatment course
SRN Kalhori, XJ Zeng
Scientific Research Publishing, 2013
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
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
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
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
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
The system can't perform the operation now. Try again later.
Articles 1–20