DMI - Data Mining International SA


Data Mining International SA (DMI) is an independent international research agency specialized in innovative disease management strategies in public health, data mining and knowledge discovery from large databases, advanced simulation modelling for decision-making in public health, risk assessment for health planning, multi-criteria analyses, health technology assessment and business modelling innovation. DMI has managed international projects worldwide for the World Health Organization (WHO) and is very active in European research. DMI is currently leading or is involved in several projects funded by the European Commission (FP7-ECHOUTCOME, FP7 SEMANTIC HEALTH NET, SANCO FLURESP, 2020-VALUeHEALTH), and acts as sub-contractor in IMI (EHR4CR) and SANCO projects (EGOHID). DMI brings innovative solutions to international and national health organizations from the public and private sectors, including academia, public health and regulatory organizations, and other interest groups and stakeholders.

MMLAP and other EU Projects

Health system analysis to support capacity development in response to the threat of pandemic influenza in Asia
Making society an active participant in water adaptation to global change
Public Participation in Developing a Common Framework for Assessment and Management of Sustainable Innovation
Effective communication in outbreak management: development of an evidence-based tool for Europe
Developing the framework for an epidemic forecast infrastructure
European monitoring of excess mortality for public health action
Modelling the spread of pandemic influenza and strategies for its containment and mitigation
Cost-effectiveness assessment of european influenza human pandemic alert and response strategies
Bridging the gap between science, stakeholders and policy makers
Promotion of immunization for health professionals in Europe
Towards inclusive research programming for sustainable food innovations
Medical ecosystem – personalized event-based surveillance
Public Engagement with Research And Research Engagement with Society
Computing Veracity – the Fourth Challenge of Big Data
Transparent communication in Epidemics: Learning Lessons from experience, delivering effective Messages, providing Evidence