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Computer Science - Information Systems and Applications | Network Modeling Analysis in Health Informatics and Bioinformatics – incl. option to publish open access (Editorial Board)

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Network Modeling Analysis in Health Informatics and Bioinformatics

Network Modeling Analysis in Health Informatics and Bioinformatics

Editor-in-Chief: R. Alhajj; U.K. Wiil

ISSN: 2192-6670 (electronic version)

Journal no. 13721

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Editor-in-Chief and Founder:

Reda Alhajj, University of Calgary, Alberta, Canada


Uffe Kock Wiil, University of Southern Denmark

Associate Board:

Alex Zelikovsky, Georgia State University, Atlanta, USA
Fangxiang Wu, University of Saskatchewan, Saskatoon, Canada
Jia Zeng, Baylor College of Medicine, Houston, USA
Jiming Liu, Hong Kong Baptist University, China
Luis Rueda, University of Windsor, Canada
Mehmet Kaya, Firat University, Elazig,Turkey
Michael Ng, Hong Kong Baptist University, China
Nadia Pisanti, University of Pisa, Italy
Thomas Schmidt, University of Southern Denmark, Odense, Denmark
Pedro A. Reche, Universidad Complutense de Madrid, Spain
Vasile Palade, Coventry University, UK
Yin-Fu Huang, National Yunlin University of Science and Technology, Taiwan

Editorial Board:

Ahmet Sacan, Drexel University, Philadelphia, USA
Alberto Policriti, Università di Udine, Italy
Annie Lau, University of New South Wales, Sydney, Australia
Artem Cherkasov, University of British Columbia, Vancouver, Canada
Balaji Veeramani, GlaxoSmithKline, USA
Bernard Offman, Université de La Réunion, France
Boris Schmitz, UK Muenster, Germany
Costas Balas, Technical University of Crete, Greece
Fahad Saeed, National Institutes of Health (NIH), USA
Faruk Polat, Middle East Technical University Ankara, Turkey
Guangzhi Qu, Oakland University, USA
Jianxin Wang, Central South University, China
Jon Rokne,University of Calgary, Canada
Keivan Kianmehr, University of Western Ontario, London, Canada
Kishan G. Mehrotra, Syracus University, USA
Konstantinos Exarchos, University of Ioannina, Greece
Luigi Portinale, Universita degli Studi del Piemonte Orientale, Italy
Luonan Chen, Chinese Academy of Science, Beijing, China
Mehmet Tan, TOBB University, Ankara, Turkey
Neil R. Smalheiser, University of Illinois at Chicago, USA
Radhakrishnan Nagarajan, University of Kentucky, USA
Shafiq Burki, University of Auckland, New Zealand
Shang Gao, Jilin University, China
Sing-Hoi Sze, Texas A&M University, USA
Steffen Heber, North Carolina State University, USA
Tamer Kahveci, University of Florida at Gainesville, USA
Tansel Ozyer, TOBB University, Ankara, Turkey
Tarek Bismar, University of Calgary, Canada
Tharam Dillon, Curtin University of Technology, Bentley, Australia
Xiaohua Tony Hu, Drexel University, Philadelphia, USA
Xingquan Zhu, Florida Atlantic University, USA
Xue-wen Chen, University of Kansas, Lawrence, USA
Yanqing Zhang, Georgia State University, Atlanta, USA
Zhongli Ding, Google Inc., Mountain View, USA

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For authors and editors

  • Aims and Scope

    Aims and Scope


    NetMAHIB publishes original research articles and reviews reporting how graph theory, statistics, linear algebra and machine learning techniques can be effectively used for modelling and analysis in health informatics and bioinformatics. It aims at creating a synergy between these disciplines by providing a forum for disseminating the latest developments and research findings; hence, results can be shared with readers across institutions, governments, researchers, students, and the industry. The journal emphasizes fundamental contributions on new methodologies, discoveries and techniques that have general applicability and which form the basis for network based modelling,  knowledge discovery, knowledge sharing and decision support to the benefit of patients, healthcare professionals and society in traditional and advanced emerging settings, including eHealth and mHealth .

    Topics covered by NetMAHIB include but are not limited to cutting-edge and novel findings on the latest trends and developments in network modelling and analysis in health informatics and bioinformatics, encompassing areas such as:

    • Clinical and hospital human resource management and performance analysis
    • Metabolic pathway and regulatory network modelling, evolution, simulation, analysis, control and engineering
    • Controlled and optimized utilization of resources
    • Decision support systems for healthcare and wellbeing
    • Models, methods, simulation, evaluation and systems for healthcare services
    • eHealth and mHealth services and interventions
    • Patient tracking, prediction and monitoring, e.g., diagnostics and deterioration detection
    • Spread and control of epidemics
    • Drug design, disease diagnosis and control
    • Signal pathways and cell control
    • Modular biology and systems biology
    • Computational biomedicine, genomics, proteomics, transcriptomics, metabolomics, sociogenomics
    • Social network modelling and analysis in health informatics and bioinformatics
    • Future developments in technologies and applications
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