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Sharareh R. Niakan Kalhori

Researcher at Tehran University of Medical Sciences

Publications -  85
Citations -  1422

Sharareh R. Niakan Kalhori is an academic researcher from Tehran University of Medical Sciences. The author has contributed to research in topics: Computer science & Medicine. The author has an hindex of 13, co-authored 71 publications receiving 822 citations. Previous affiliations of Sharareh R. Niakan Kalhori include Damghan University & University of Tehran.

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Journal ArticleDOI

Predicting COVID-19 Incidence Through Analysis of Google Trends Data in Iran: Data Mining and Deep Learning Pilot Study.

Seyed Mohammad Ayyoubzadeh, +4 more
- 14 Apr 2020 - 
TL;DR: This prediction might support policymakers and health care managers to plan and allocate health care resources accordingly and support data mining algorithms can be employed to predict trends of outbreaks.
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Intelligent tutoring systems: a systematic review of characteristics, applications, and evaluation methods

Elham Mousavinasab, +5 more
- 02 Jan 2021 - 
TL;DR: This study has recommended the development and evaluation of mobile-based ITSs, which have rarely been applied in experimental courses including problem-solving, decision-making in physics, chemistry, and clinical fields.
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Criteria for assessing the quality of mHealth apps: a systematic review.

Rasool Nouri, +4 more
- 01 Aug 2018 - 
TL;DR: There is a wide heterogeneity in assessment criteria for mHealth apps and it is necessary to define the exact meanings and degree of distinctness of each criterion to improve the existing tools and may lead to achieve a better comprehensive mHealth app assessment tool.
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Comparing Performance of Data Mining Algorithms in Prediction Heart Diseases

Moloud Abdar, +4 more
- 01 Dec 2015 - 
TL;DR: This work applied and compared data mining techniques to predict the risk of heart diseases and found decision tree has been able to build a model with greatest accuracy.
Journal Article

Application of spatio-temporal model to estimate burden of diseases, injuries and risk factors in Iran 1990 - 2013.

Mahboubeh Parsaeian, +8 more
- 01 Jan 2014 - 
TL;DR: This study aims to combine different available data sources and produce precise and reliable evidences for Iranian burden of diseases and risk factors and their disparities among geographical regions over time by focusing on approaches that allow extending spatio-temporal models proposed previously in the literature.