A Framework for the Design of Knowledge-Based Systems in Structural Biology

Brinkley, James F and Prothero, J. S. and Prothero, John W and Rosse, Cornelius (1989) A Framework for the Design of Knowledge-Based Systems in Structural Biology. In: 15th Annual Symposium on Computer Applications in Medical Care. pp. 61-65.

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Abstract

Structural biology is a basic medical science dedicated to understanding the function of the body in
terms of its three-dimensional organization. Since both normal and abnormal function are
fundamentally determined by structure a knowledge base of structural biology should lead to
causally-based problem-solving modules in basic science and clinical medicine. Such a knowledge
base, and the associated knowledge-based systems, will be large and will need to be developed and
coordinated through many research groups. We describe a distributed framework for allowing such
sharing to take place, in which individual modules running on widely scattered and diverse machines
are made available as knowledge and data servers communicated via remote procedure calls or similar
mechanisms. We also describe potential modules for structural biology and present results from our
current modules for computing three-dimensional anatomic reconstructions from serial sections.

Item Type: Book Section
Uncontrolled Keywords: atlas96 brain95 braincr96 kaz96 knowledge-base nihcv scamc95 sig slisp95
Subjects: All Projects > Overviews
Depositing User: Jim Brinkley
Date Deposited: 01 May 2003
Last Modified: 25 Jul 2017 22:43
URI: http://sigpubs.si.washington.edu/id/eprint/21

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