Network Modeling Analysis in Health Informatics and Bioinformatics

期刊简介：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 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

【译文】NetMAHIB 发表原创研究文章和评论，报告如何有效地将图论、统计学、线性代数和机器学习技术用于健康信息学和生物信息学的建模和分析。它旨在通过提供一个传播最新进展和研究成果的论坛，在这些学科之间建立协同作用；因此，研究结果可以与各机构、政府、研究人员、学生和行业的读者分享。该杂志强调对具有普遍适用性的新方法、发现和技术的基本贡献，并构成基于网络的建模、知识发现、知识共享和决策支持的基础，以造福传统和先进新兴环境（包括电子医疗和移动医疗）中的患者、医疗保健专业人员和社会。 NetMAHIB 涵盖的主题包括但不限于健康信息学和生物信息学网络建模和分析的最新趋势和发展的前沿和新颖发现，涵盖以下领域： 临床和医院人力资源管理和绩效分析 代谢途径和调节网络建模、演化、模拟、分析、控制和工程 资源的受控和优化利用 医疗保健和福祉的决策支持系统 医疗保健服务的模型、方法、模拟、评估和系统 电子医疗和移动医疗服务和干预措施 患者跟踪、预测和监测，例如诊断和恶化检测 流行病的传播和控制 药物设计、疾病诊断和控制 信号通路和细胞控制 模块化生物学和系统生物学 计算生物医学、基因组学、蛋白质组学、转录组学、代谢组学、社会基因组学 健康信息学和生物信息学中的社交网络建模和分析 技术和应用的未来发展 临床和医院人力资源管理和绩效分析；代谢途径和调控网络建模、进化、模拟、分析、控制和工程；控制和优化资源利用；医疗保健和福祉决策支持系统；医疗保健服务的模型、方法、模拟、评估和系统；电子医疗和移动医疗服务和干预措施；患者跟踪、预测和监测，例如诊断和病情恶化检测；流行病的传播和控制；药物设计、疾病诊断与控制；信号通路和细胞控制；模块化生物学和系统生物学；计算生物医学、基因组学、蛋白质组学、转录组学、代谢组学、社会基因组学；健康信息学和生物信息学中的社交网络建模和分析；技术和应用的未来发展