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mohammad  sattari

Mohammad Sattari , PhD

Assistant Professor



School :

School of Management and Medical Information Sciences

Department :

Department of Management and Health Information Technology

Research Center :

Health Information Technology Research Center

work address :

Isfahan University of Medical Sciences, Salamat Boulevard, School of Management and Information, room 324

Education :

PHD, Software Engineering,University of Isfahan, Isfahan, Iran  

Relevant Work Experience :

I am Assistant Prof of Dept. of Health Information Technology & Management in Isfahan University of Medical Sciences.

Professional Memberships & Qualification :

Rank 11 in  PHD entrance exam in 2013 Accepted plans in Motahari festival in 2020 and 2021

Extra Curricular Activities/ Interest(personal url) :



Grants & Awards :

Patents :

Presentations & Poster Sessions :

Design and implementation of health tourism social network Propose a travel destination recommender system based on a health tourism social network Survival prediction for patients with breast cancer by datamining techniques

Research Experience :

Journals (ISI)           1) M Sattari, K Zamanifar,A cascade information diffusion based label propagation algorithm for community detection in dynamic social networks, Journal of Computational Science, 2018; 25; 122-133  2) M Sattari, K Zamanifar, A spreading activation-based label propagation algorithm for overlapping community detection in dynamic social networks, Data & Knowledge Engineering, (2018); 113;  155–170   Journals (Non ISI) 1) M Sattari, K Zamanifar, N Nematbakhsh, Proposing An Improved Approach Based on Semantic Analysis to Access Information in Social Network, The CSI Journal on Computer Science and Engineering , 2014;12; 31-37, (In Persian). 2) M Sattari, K Zamanifar,  An Improved Method Based on Label Propagation and Greedy Approaches for Community Detection in Dynamic Social Networks, journal of information & communication technology, 2020, 43, 55-69, 3) M Jahanbakhsh, H Ashrafi-Rizi, M Jangi, M Sattari, Big data in COVID-19 surveillance system: A commentary, Journal of Education and Health Promotion 9, 329, 2020 4) Keyvanara M, Satari M, Jangi M, Sharbafchizadeh N, Rahele R. Prediction of the Iranians self-care in terms of communication pattern of their individual and social characteristics in face of Covid-19 pandemic-2020. Tehran Univ Med J. 2020; 78 (9) :589-597 5)   و2020ماهنامه علمی مطالعات کاربردی در علوم مدیریت و توسعه,وطراحی و توسعه شبکه اجتماعی گردشگری سلامت, محمد ستاری، آزاده محمدی، علی اکبری، سید فرزان فخرایی, 6) Shahbazi M, Bagherian H, Sattari M, Saghaeiannejad-Isfahani S. The opportunities and challenges of using mobile health in elderly self-care. J Edu Health Promot 2021;10:80 7) jahanbakhsh M, Aghadavodian jolfaee A, Kelishadi R, Sattari M. Studying the relationship between nutrition, leisure and physical activity with promoting mental health of 13-18-year-old students in Iran using Naive Bayes technique. jmis. 2020; 6 (4) :42-49 8) Jahanbakhsh M, Bagherian H, Tavakoli N, Ehteshami A, Sattari M, Isfahani SS, Jangi M. The role of virtual social networks in shaping people's attitudes toward COVID-19 in Iran. J Edu Health Promot  2021 Oral presentations:   1 ) M Sattari, K Zamanifar, N Nematbakhsh ,Propose an improved approach based on syntax analysis to access information in social network, CSICC, 2013, (In Persian). 2) M Sattari, MA Nematbakhsh, K Zamanifar, Propose an approach based on bookmarks and tags to web page clustering, IDM, 2015, (In persian). 3) M Sattari, K Zamanifar, Propose a Hybrid Method Based on the Speaker-Listener Propagation Algorithm and the Blondel Method to Detect Community in Dynamic Social Networks, CSICC, 2016, (In Persian). 4) M Sattari, A Baraani-Dastjerdi, K Zamanifar, Propose an approach to choosing tag for tag cloud to using in blog mining, IDM, 2018, (In Persian). Poster Presentations: M Sattari, Propose an Approach to Choosing Tag for Tag Cloud Based on Different User Preferences, 5th international conference on web research , 2019. M Sattari, H Bagherian, Using data mining techniques in predicting survivability of breast cancer patints, Second Conference on Information Technology and Health Promotion Centered on Cancer, 2019.    

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Teaching Experience :

Teaching Interests :