Paper: Information technology factors in transferability of knowledge based systems in medicine

Authors:
Thomas Schioler;Jan Talmon;John Nolan;Peter McNair
Affiliations:
University of Copenhagen, Dept. of Medical Gastroenterology, Gentofte Hospital, Niels Andersensvej 65, DK-2900 Hellerup, Denmark;University of Limburg, Dept. of Med. Informatics, Maastricht, The Netherlands;University of California San Diego, Dept. of Medicine, La Jolla, USA;University of Copenhagen, Dept. of Clin. Chem., Hvidovre Hospital, Hvidovre, Denmark
Venue:
Artificial Intelligence in Medicine
Year:
1994

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Abstract

The history of knowledge based systems in medicine has been that they are generally very localised, serving a special need in a single setting. Very few have proven to be capable of transfer to a distant environment. With the advent of tele-medical services and the associated transfer of data and knowledge in such services, the ability of medical KBS to transfer will be crucial to the succes of tele-medical services. Differences in knowledge acquisition methods, knowledge representation techniques and in the epidemiological composition of training databases may influence viable transfer of knowledge based systems. Through experiments we demonstrate how rule-based systems may impose inflexible demands on data, how different knowledge acquisition techniques acquire different aspects of knowledge, though trained on a common training database, and how different knowledge acquisition techniques show varying degrees of robustness to slight changes in training databases.