Data Mining and Big Data Analytics WG
Dr Lucia Sacchi
Laboratory for Biomedical Informatics
Department of Electrical, Computer and Biomedical Engineering
University of Pavia, Italy
Dr. Allan Tucker
Dept Computer Science
Brunel University London, UK
Goals & Objectives:
- To increase the awareness and acceptance of data mining and big data analytics methods in the biomedical community.
- To exchange knowledge and experience with respect to methods for data collection, data sharing, and data mining in biomedicine.
- To foster scientific discussion and disseminate new knowledge on AI-based methods for data analysis and data mining techniques applied to biomedicine. To promote the development of standardized platforms and solutions.
- To provide a forum for presentation of successful data science implementations in biomedicine, and for discussion of best practices in introduction of these techniques in medical and health-care information and decision support systems.
- Focus on specific topics of interest for the scientific community, in particular:
- the exploitation of predictive analytics in clinical medicine,
- knowledge-based functional genomics,
- analysis of molecular phenotypes,
- data mining models for the assessment of clinical risk,
- temporal data mining in medicine and bioinformatics, and
- evolutionary computation in biomedical knowledge discovery.
The name and remit of the WG was changed at the IMIA GA meeting 2013. Previously known as “Intelligent Data Analysis and Data Mining”
This working group is the successor of the working group on Intelligent Data Analysis and Data Mining, that existed from 2001 to 2013. The working group’s main activities are the organization of workshops, panel discussions, tutorials and business meetings at international conferences such as Medinfo, the AMIA Annual Symposium, Medical Informatics Europe and the Artificial Intelligence in Medicine Conference. The workshops and panel discussions are intended to provide a forum to meet and exchange knowledge and experiences for working group members and all others who are interested. The tutorials intend to introduce people with little knowledge and experience with data mining and big data analytics to the basic concepts, theories and software tools available in the field. Finally, the working group is involved in the publications of thematic special issues and methodological
reviews in international scientific journals such as Methods of Information in Medicine and Journal of Biomedical Informatics.