Network Modeling Analysis in Health Informatics and Bioinformatics Q3 Unclaimed
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 analysisMetabolic pathway and regulatory network modelling, evolution, simulation, analysis, control and engineeringControlled and optimized utilization of resourcesDecision support systems for healthcare and wellbeingModels, methods, simulation, evaluation and systems for healthcare serviceseHealth and mHealth services and interventionsPatient tracking, prediction and monitoring, e.g., diagnostics and deterioration detectionSpread and control of epidemicsDrug design, disease diagnosis and controlSignal pathways and cell controlModular biology and systems biologyComputational biomedicine, genomics, proteomics, transcriptomics, metabolomics, sociogenomicsSocial network modelling and analysis in health informatics and bioinformaticsFuture developments in technologies and applications It has an SJR impact factor of 0,401.
Type: Journal
Type of Copyright:
Languages: English
Open Access Policy: Open Choice
Type of publications:
Publication frecuency: -
2290 €
Inmediate OANPD
Embargoed OA0 €
Non OAMetrics
0,401
SJR Impact factor28
H Index58
Total Docs (Last Year)149
Total Docs (3 years)3507
Total Refs417
Total Cites (3 years)148
Citable Docs (3 years)2.51
Cites/Doc (2 years)60.47
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