Integrating deep biomedical models into medical decision support systems: An interval constraint approach

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Abstract

Knowledge representation has always been a major problem in the design of medical decision support systems. In this paper we present a new methodology to represent and reason about medical knowledge, based on the declarative specification of interval constraints over the medical concepts. This allows the integration of deep medical models involving differential equations developed in biomedical research (typical in several medical domains) which, due to their complexity, have not been incorporated into medical decision support systems. The methodology which enables reasoning both forward and backward in time, is applied to a specific domain, electromyography. The promising results obtained are discussed to justify our future work.
Original languageUnknown
Title of host publicationLecture Notes in Artificial Intelligence
Pages185-194
Volume1620
DOIs
Publication statusPublished - 1 Jan 1999
EventJoint European Conference on Artificial Intelligence in Medicine and Medical Decision Making -
Duration: 1 Jan 1999 → …

Conference

ConferenceJoint European Conference on Artificial Intelligence in Medicine and Medical Decision Making
Period1/01/99 → …

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