# ITBAM — International Conference on Information Technology in Bio- and Medical Informatics

- **Submission deadline**: 2016-05-02
- **Notification date**: 2016-05-15
- **Conference date**: 2016-09-05
- **Location**: Porto, Portugal
- **Rankings**: QUALIS B5
- **Conference Partner Index**: 42.6/100 (ranked #3943, confidence 0.80, algorithm 1.1) — how this is computed: https://www.myhuiban.com/ranking
- **Trackers**: 0
- **Attendees**: 0
- **Canonical page**: https://www.myhuiban.com/conference/1262

## Call for papers

Data intensive disciplines, such as life sciences and medicine, are promoting vivid research activities in the area of databases. Modern technologies, such as high-throughput mass-spectrometry and sequencing, micro-arrays, high-resolution imaging, etc., produce enormous and continuously increasing amounts of data. Huge public databases provide access to aggregated and consolidated information on genome and protein sequences, biological pathways, diseases, anatomy atlases, and scientific literature. There has never been more potentially available information to study biomedical systems, ranging from single cells to complete organisms. However, it is a non-trivial task to transform the vast amount of biomedical data into actionable information, triggering scientific progress and supporting patient management. Major biomedical application scenarios for research in the database community include, but are not limited to: Systems biology Genomics, proteomics, and metabolomics Genome-wide association studies Drug target discovery and personalized medicine Neuroscience and neuroinformatics Electronic patient records Patient monitoring Surgery planning and support Other relevant applications Various emerging database technologies for coping with the challenges of these application scenarios have been developed and are an active area of research in information technology: Administration of vast amounts of data Integration of heterogeneous data sources Federated and distributed databases Data warehouses Data mining techniques such as classification, clustering, association rule mining, etc. Decision support systems Information and image retrieval Signal processing and streaming databases Privacy protection and data security Data quality assurance Process management and collaborative work User interfaces and visualization Interoperability and standardization Other relevant applications Designing database technology to support applications in life sciences and medicine is an inspiring field of interdisciplinary research. The path from an idea or concept to a practical application is often long and laborious, involving intensive interactions between experts in information technology, life sciences and the medical field. ITBAM accompanies and supports this path by providing an excellent venue for the exchange of ideas, fruitful discussion, and effective interaction among interdisciplinary researchers. In addition to the regular conference program featuring presentations of full and short research papers published in the proceedings, ITBAM encourages the submission of posters reporting work in progress. All accepted posters will be displayed during the whole event and abstracts will be included in the proceedings.

## Related conferences

- BIO — International Conference on Bioscience & Engineering — https://www.myhuiban.com/conference/4280
- ICBSBT — International Conference on Bio-Science and Bio-Technology — https://www.myhuiban.com/conference/4228
- BSBT — International Conference on Bio-Science and Bio-Technology — https://www.myhuiban.com/conference/1751
- ICCABS — IEEE International Conference on Computational Advances in Bio and Medical Sciences — https://www.myhuiban.com/conference/1971
- SIGIR — International Conference on Research and Development in Information Retrieval — https://www.myhuiban.com/conference/141

## Related journals

- Journal of Medical Systems — https://www.myhuiban.com/journal/783
- IEEE Transactions on Multimedia — https://www.myhuiban.com/journal/152
- Knowledge-Based Systems — https://www.myhuiban.com/journal/227
- Software & Systems Modeling — https://www.myhuiban.com/journal/99
- IEEE Transactions on Computers — https://www.myhuiban.com/journal/3

---
Source: Conference Partner — https://www.myhuiban.com/conference/1262 (rankings reproduced from CCF / ICORE / QUALIS; data cached up to 1 hour)