LBBIS 2012 - LBBIS12: Special Track on LEARNING-BASED BIOMEDICAL INFORMATION SYSTEMS

1st CALL FOR PAPERS

LBBIS12: Special Track on LEARNING-BASED BIOMEDICAL INFORMATION SYSTEMS
(http://www.cbms2012.org/LBBIS12/)
at IEEE CBMS 2012: 25th IEEE International Symposium on
COMPUTER-BASED MEDICAL SYSTEMS
June 20-22, 2012, Universit? Campus Bio-Medico di Roma, Roma, Italy

The vast amount of data generated by biomedical devices, or retrieved from archives, motivates the development of tools that are able to handle, analyse and make use of it in a computer-supported fashion.
However, the automatic extraction of useful information from these sources remains a challenging task because the data are of deeply heterogeneous nature (texts, images, time-varying signals, omics data, etc.) as well as the processes involved (computer-aided patient data monitoring and anomaly detection, automatic anatomy delineation and lesion detection from images, finding inconsistencies in clinical reports, etc.).
To this aim, information systems based on automatic learning techniques have become a popular and effective way for facing such issues. These systems can pursue different objectives, such as pre-selection of patient data to be examined, serving as a second reader or working as a tool for training and education of specialized medical personnel. Currently, the development of learning-based systems applicable to different working scenarios is a major issue.
This special track aims at bringing together researchers and professionals in various-disciplines such as computer science, biomedical informatics, health care, information systems, biomedical science and engineering, and industrial systems and at providing a forum for the presentation and discussion of their research activities related to learning-based systems. Engineers, scientists, psychologists, clinicians and computer and cognitive scientists, as well as research project managers involved in such medical projects are encouraged to submit their papers to this special track.
The topics of interest include but are not limited to:
- Classification, regression, clustering and association analysis for biomedicine;
- Pattern recognition for knowledge discovery and decision support;
- Feature extraction, selection and transformation with biomedical data;
- Computer aided detection and diagnosis;
- Decision support systems in biomedicine;
- Diagnostic systems based on data of multiple modalities;
- Learning from data streams and longitudinal data analysis;
- Mining biomedical data with time- and context-changing patterns and data distributions;
- Mining heterogeneous biomedical data including signals, images, clinical and omics data;
- Retrieval of complex biomedical data;
- Performance evaluation, accuracy measurement, error cost analysis and risk minimization;
- Cost-sensitive data mining;
- Visualization of clinical data and visual data mining;
- Visualization, evaluation and interpretation of data mining results;
- Knowledge-driven data mining;
- Case studies based on large medical databases;
- Machine learning and data mining in biomedical applications;
- Knowledge discovery for personalization and adaptation of medical information systems and services;
- Medical knowledge elicitation, representation and integration in computer-based medical systems.
Submitted papers have to be original, containing new and original results. The papers, prepared following the IEEE 2-column format and not exceeding the length of six Letter-sized pages, should be submitted via EasyChair at https://www.easychair.org/account/signin.cgi (please select Special Track on Learning-Based Biomedical Information Systems, LBBIS 2012).