Updated: Feb 1, 97
KAVAS

Knowledge Acquisition, Visualization and Assessment System

Project Code: A2019 Project value: 5509 KECU EC contribution: 3000 KECU No of partners: 12 No of countries: 7 Duration: 36 months

Contact Mrs. Jytte Brender Medical Informatics Laboratory ApS Stengaards Alle 33D DK-2800 Lyngby, Denmark Tel.: +45-42-88.55.98 Fax: +45-31-75.09.77

Medicine is a privilege field for experimentation on artificial intelligence since the sixties. Despite this, the maturness of knowledge based systems in medicine has not yet arrived, due to the complexity of human reasoning and the reluctant attitude of professionals when they can not control the decision-aid machine. Nevertheless, health care of European citizens will probably improve, when to the expertise of their doctors, one could add the gain of computers. This project aims to investigate the process of knowledge acquisition and data assessment, and to produce a tool apt for assisting physicians in their daily navigation on the ocean of clinical information. The prototype being constructed brings together the methodology of both knowledge elicitation and machine learning techniques. The aspects of human-computer interactions are also addressed, including the control by the user of the level of deepness reached at a certain point of consultation. In the consortium one can find a good combination of software companies, universities and hospitals.

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