Ιδρυματικό Αποθετήριο [SANDBOX]
Πολυτεχνείο Κρήτης
EN  |  EL

Αναζήτηση

Πλοήγηση

Ο Χώρος μου

Automated revision of expert rules for treating acute abdominal pain in children

Moustakis Vasilis, Sašo Džeroski, Giorgos Potamias, Giorgos Charissis

Απλή Εγγραφή

URIhttp://purl.tuc.gr/dl/dias/4821839F-B2B0-4FE4-B401-2E08C48933B4-
Αναγνωριστικόhttps://doi.org/10.1007/BFb0029440-
Γλώσσαen-
ΤίτλοςAutomated revision of expert rules for treating acute abdominal pain in childrenen
ΔημιουργόςMoustakis Vasilisen
ΔημιουργόςΜουστακης Βασιληςel
ΔημιουργόςSašo Džeroskien
ΔημιουργόςGiorgos Potamiasen
ΔημιουργόςGiorgos Charissisen
ΕκδότηςSpringer Verlagen
ΠερίληψηDecision making knowledge acquired directly from a medical expert is often incorrect and incomplete. Another source of knowledge about a decision making problem are examples of expert decisions in situations that have occurred in practice, stored in patient records of clinical information systems. Such examples can be used to revise the expert-provided knowledge, i.e., to discover and repair its deficiences. The revised knowledge performs better than the original one and often better than rules learned from examples alone. In addition, it inherits parts of the original expert knowledge and is thus easier to understand and accept for the expert. We present an application of the machine learning approach of theory revision to the problem of revising an expert-provided theory for treating children with acute abdominal pain.en
ΤύποςΠλήρης Δημοσίευση σε Συνέδριοel
ΤύποςConference Full Paperen
Άδεια Χρήσηςhttp://creativecommons.org/licenses/by/4.0/en
Ημερομηνία2015-11-04-
Ημερομηνία Δημοσίευσης1997-
Βιβλιογραφική ΑναφοράS. Dzeroski, G. Potamias, V. Moustakis, G. Charissis, "Automated Revision of Expert Rules for Treating Acute Abdominal Pain in Children," in 6th Conference on Artificial Intelligence in Medicine Europe, 1997, pp. 98-109. doi: 10.1007/BFb0029440en

Υπηρεσίες

Στατιστικά

 

Copyright © DIAS 2013