CORDIS
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Knowledge Helper for Medical and Other Information users

Project description

Intelligent information management Collect and make sense of biomedical information, then makes it freely and easily available in several languages

KHRESMOI aims to develop a multi-lingual multi-modal search and access system for biomedical information and documents. This will be achieved by:

- Effective automated information extraction from biomedical documents, including improvement using crowd sourcing and active learning, and automated estimation of the level of trust and target user expertise

- Automated analysis and indexing for medical images in 2D (X-Rays), 3D (MRI, CT), and 4D (fMRI)

- Linking information extracted from unstructured or semi-structured biomedical texts and images to structured information in knowledge bases

- Support of cross-language search, including multi-lingual queries, and returning machine-translated pertinent excerpts

- Adaptive user interfaces to assist in formulating queries and display search results via ergonomic and interactive visualizations

The research will flow into several open source components, which will be integrated into an innovative open architecture for robust and scalable biomedical information search.The system will be evaluated in use cases by three well-defined user groups:1. Members of the general public want access to reliable and understandable medical information in their own language2. Clinicians and general practitioners need accurate answers rapidly – a search on PubMed requires on average 30 minutes, while clinicians typically have 5 minutes available. Furthermore, over 40% of searches fail to provide relevant information3. Radiologists are drowning in images – at larger hospitals over 100GB (over 100000 images) are produced per day

Representative groups of end users are available for sizable evaluations, accessed through a medical search engine with 11000 queries per day, a professional association of 2700 medical doctors, and two radiology departments with 175 radiologists.

KHRESMOI is directed at Objective ICT-2009.4.3: Intelligent Information Management. It will focus on target outcome (a) capturing tractable information.

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Coordinator Contact

Henning MÜLLER (Mr.)

Coordinator

HAUTE ECOLE SPECIALISEE DE SUISSE OCCIDENTALE

Address

Route De Moutier 14
2800 Delemont

Switzerland

Activity type

Higher or Secondary Education Establishments

EU Contribution

€ 1 715 660

Administrative Contact

Alexandre Cotting (Mr.)

Participants (12)

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Information Retrieval Facility Society

Austria

EU Contribution

€ 125 000

GESELLSCHAFT DER ARZTE IN WIEN

Austria

EU Contribution

€ 147 900

TECHNISCHE UNIVERSITAET WIEN

Austria

EU Contribution

€ 547 600

MEDIZINISCHE UNIVERSITAET WIEN

Austria

EU Contribution

€ 784 770

ONTOTEXT AD

Bulgaria

EU Contribution

€ 574 080

HEALTH ON THE NET FONDATION

Switzerland

EU Contribution

€ 753 400

UNIVERZITA KARLOVA

Czechia

EU Contribution

€ 598 272

UNIVERSITAET DUISBURG-ESSEN

Germany

EU Contribution

€ 826 480

ATOS SPAIN SA

Spain

EU Contribution

€ 506 905

EVALUATIONS AND LANGUAGE RESOURCES DISTRIBUTION AGENCY

France

EU Contribution

€ 296 941

DUBLIN CITY UNIVERSITY

Ireland

EU Contribution

€ 634 450

THE UNIVERSITY OF SHEFFIELD

United Kingdom

EU Contribution

€ 524 271

Project information

Grant agreement ID: 257528

Status

Closed project

  • Start date

    1 September 2010

  • End date

    31 August 2014

Funded under:

FP7-ICT

  • Overall budget:

    € 10 557 043

  • EU contribution

    € 8 035 729

Coordinated by:

HAUTE ECOLE SPECIALISEE DE SUISSE OCCIDENTALE

Switzerland