Topics covered by Net-HI-BI-BI 2013 include but are not limited to work in progress as well as cutting-edge and novel findings on the latest trends and developments in health informatics, encompassing areas such as:
- Analytics for Visualizing and summarizing large patient data in EMR.
- Benchmarking of big data infrastructure in healthcare.
- Big data and analytics from home monitoring devices.
- Big data in semantics and bio-text mining.
- Big data influence on systems biology, protein structure prediction, Drug discovery.
- Case Studies for Hadoop based healthcare analytics.
- Clinical and hospital human resource management and performance analysis.
- Computational biomedicine, genomics, proteomics, transcriptomics, metabolimics, sociogenomics.
- Computer aided diagnosis.
- Controlled and optimized utilization of resourc.
- Data analysis and disease biomarker prediction.
- Data mining and machine learning techniques in health informatics.
- Drug design, disease diagnosis and control.
- E-health and web-based information services.
- Evaluation and use of information technology in healthcare.
- Future developments in technologies and applications.
- Genome structural change detection.
- Healthcare applications of mobile and pervasive technologies.
- Human-computer interaction.
- Information and image retrieval.
- Integration and sharing of heterogeneous health data sources.
- Integration and sharing of heterogeneous health information systems.
- Intelligent Health Information Systems & Decision Support Systems.
- Language parsing methods in biomedicine.
- Large scale biological network construction and learning.
- Large-scale and dynamic bio-image and medical-image analysis.
- Mobile solutions for sharing information in healthcare services.
- Modelling, simulation and evaluation of healthcare services.
- Next generation sequencing data storage and analysis.
- Patient tracking and monitoring: spatio-temporal models.
- Privacy protection and data security in health informatics systems.
- Process management and collaborative work.
- Reuse in Health Information System development and maintenance.
- Security and Privacy for clinical data in big data infrastructures.
- Signal processing and streaming databases.
- Smart visualizations for big data streams.
- Social network modelling and analysis in health informatics.
- Spread and control of epidemics.
- User interfaces and visualization for health informatics systems.