Sharareh R. Niakan Kalhori

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Farhad Fatehi, MD, PhD, FIAHSIThe University of QueenslandVerifisert e-postadresse på uq.edu.au
rasool nouriIsfahan university of Medical SciencesVerifisert e-postadresse på mng.mui.ac.ir
Mobin YasiniMD, MPH, PhD in medical informatics, University of Pierre&Marie Curie (Paris6)Verifisert e-postadresse på dedalus.eu
Xiao-Jun ZengDepartment of Computer Science, University of ManchesterVerifisert e-postadresse på manchester.ac.uk
Fereshteh Zamani-AlavijehDepartment of Health Education and Promotion,Isfahan University of Medical Sciences, IranVerifisert e-postadresse på hlth.mui.ac.ir
Farshad FarzadfarNon-Communicable Diseases Research Center ,Tehran University of Medical Sciences,Tehran,IRANVerifisert e-postadresse på tums.ac.ir
Shadi RahimzadehInstitute of Public Health and Wellbeing, University of EssexVerifisert e-postadresse på essex.ac.uk
Goli ArjiAssistant professor, Health Information TechnologyVerifisert e-postadresse på savehums.ac.ir
Mahbubeh ParsaeianAssociate Professor of Biostatistics, Tehran University of Medical Sciences, Tehran, IranVerifisert e-postadresse på sina.tums.ac.ir
parvin shahryacademic staff of maternal and child health, Ahvaz jundishapur University of Medical sciences, AhvazVerifisert e-postadresse på ajums.ac.ir
Abdolrahim Asadollahi, GerontologistACQoL, Deakin University, AustraliaVerifisert e-postadresse på sums.ac.ir
Amir KasaeianAssociate Professor at Tehran University of Medical Sciences - Digestive Diseases Research InstituteVerifisert e-postadresse på sina.tums.ac.ir
Yadollah OmidiNova Southeastern University, Full Professor at College of Pharmacy, Florida, USAVerifisert e-postadresse på nova.edu
Batool Tayefi NasrabadiPreventive Medicine and Public Health Research Center, Iran University of Medical Sciences, TehranVerifisert e-postadresse på iums.ac.ir
H.EmamiTPCRC,NRITLD, Shahid Beheshti University of Medical Sciences, Tehran, IranVerifisert e-postadresse på sbmu.ac.ir
Abbas Ebadi PhDProfessorVerifisert e-postadresse på bmsu.ac.ir
Masoumeh Rostam Niakan Kalhori(Research) Assistant professor at the Niroo Research Institute, Tehran,IranVerifisert e-postadresse på nri.ac.ir

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Sharareh R. Niakan Kalhori

Fellowship of Medical Informatics and Associate Professor, Tehran University of Medical Sciences

Verifisert e-postadresse på sina.tums.ac.ir - Startside

Public Health Informatics Data Analysis Neural Networks Information System & Mobile Health


Tittel Sorter etter sitater Sorter etter år Sorter etter tittel	Sitert av Sitert av	År
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	443	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	399	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	271	2023
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	228	2018
Comparing performance of data mining algorithms in prediction heart diseases M Abdar, SRN Kalhori, T Sutikno, IMI Subroto, G Arji Deakin University, 2015	173	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 (1), 2709654, 2018	122	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	103	2019
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	82	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	78	2021
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 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	57	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	56	2016
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	55	2019
Effectiveness of Artificial Intelligence for Personalized Medicine in Neoplasms: A Systematic Review S Rezayi, S R Niakan Kalhori, S Saeedi BioMed Research International 2022 (3), 34, 2022	51	2022
Application and evaluation of virtual technologies for anatomy education to medical students: A review Z Karbasi, S R. Niakan Kalhori Medical Journal of the Islamic Republic of Iran (MJIRI) 34 (163), 1-8, 2020	47	2020
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
Evaluation and comparison of different machine learning methods to predict outcome of tuberculosis treatment course SRN Kalhori, XJ Zeng Scientific Research Publishing, 2013	47	2013
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
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	44	2017
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	40	2018

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