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. Open Access options available

Journal metrics

105 days
Submission to first decision
192 days
Submission to acceptance
27,469 (2018)
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About this journal

Electronic ISSN
2192-6670
Abstracted and indexed in
  1. ACM Digital Library
  2. CNKI
  3. DBLP
  4. EBSCO Discovery Service
  5. EI Compendex
  6. EMBASE
  7. Emerging Sources Citation Index
  8. Google Scholar
  9. INSPEC
  10. Institute of Scientific and Technical Information of China
  11. Japanese Science and Technology Agency (JST)
  12. Naver
  13. OCLC WorldCat Discovery Service
  14. ProQuest Advanced Technologies & Aerospace Database
  15. ProQuest Central
  16. ProQuest SciTech Premium Collection
  17. ProQuest Technology Collection
  18. ProQuest-ExLibris Primo
  19. ProQuest-ExLibris Summon
  20. Reaxys
  21. SCImago
  22. SCOPUS
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