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

Journal information

Editor-in-Chief
  • Reda Alhajj,
  • Uffe Kock Wiil
Publishing model
Hybrid (Transformative Journal). Learn about publishing Open Access with us

Journal metrics

40 days
Submission to first decision
44,153 (2021)
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This journal has 4 open access articles

Journal updates

  • Call for papers: Computer Vision and Deep Learning for Healthcare Applications

    This special issue on Computer Vision and Deep Learning for Healthcare Applications aims to collect latest approaches and findings, as well as to discuss the current challenges of deep learning and computer vision-based e-health and welfare applications. We expect this special issue to increase the visibility and importance of this area, and contribute, in the short term, in pushing the state of the art in the automatic analysis of human behaviors for health and wellbeing applications.”

    New Content Item
  • Call for Papers: Computational Methods and Machine Learning Algorithm for Computer Diagnostic System

    There are many opportunities for machine learning researchers to collaborate with clinical staff, and encourage researchers to engage with clinical experts to identify and tackle important problems. Such efforts may lead to models that are clinically useful and operationally feasible. The aim of this Special issue is to explore and collect the ongoing research activities and clinical applications of Machine learning in the field of diagnostics.

    New Content Item
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About this journal

Electronic ISSN
2192-6670
Abstracted and indexed in
  1. ACM Digital Library
  2. CLOCKSS
  3. CNKI
  4. CNPIEC
  5. DBLP
  6. Dimensions
  7. EBSCO Discovery Service
  8. EI Compendex
  9. EMBASE
  10. Emerging Sources Citation Index
  11. Google Scholar
  12. INSPEC
  13. Japanese Science and Technology Agency (JST)
  14. Naver
  15. Norwegian Register for Scientific Journals and Series
  16. OCLC WorldCat Discovery Service
  17. Portico
  18. ProQuest Advanced Technologies & Aerospace Database
  19. ProQuest-ExLibris Primo
  20. ProQuest-ExLibris Summon
  21. Reaxys
  22. SCImago
  23. SCOPUS
  24. TD Net Discovery Service
  25. UGC-CARE List (India)
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