DocumentCode
2905811
Title
Chirico-a framework for computerization of medical practice guidelines
Author
Davis, Clifton ; Eick, Christoph ; Krishnamurthy, Balasubramanian ; Shah, Ashish ; Wanke, Lee
Author_Institution
Dept. of Comput. Sci., Houston Univ., TX, USA
fYear
1995
fDate
5-8 Nov 1995
Firstpage
224
Lastpage
227
Abstract
Methodologies based on an elaboration of the knowledge acquisition and design structuring (KADS) philosophy were developed and a suite of tools based on this methodology was implemented. The tools implement object oriented support at the domain-layer, Bayesian reasoning combined with a Bayesian compatible version of “fuzzy sets” to support the inference-layer, and mechanisms for knowledge level task control to support both the task-level and strategic-level. These tools were built for the task of computerizing medical practice guidelines. The tools were successfully applied to two practice guidelines, one selected by symptom (febrile neutropenia) and the other by drug class (CSF)
Keywords
Bayes methods; inference mechanisms; knowledge acquisition; medical expert systems; patient care; patient treatment; Bayesian compatible fuzzy set version; Bayesian reasoning; Chirico; drug class; febrile neutropenia; inference layer; knowledge acquisition and design structuring philosophy; knowledge level task control; medical practice guideline computerisation; object oriented domain layer support; strategic level; symptom; task level; tool suite; Artificial intelligence; Bayesian methods; Computer science; Costs; Drugs; Expert systems; Fuzzy sets; Guidelines; Medical services; Problem-solving;
fLanguage
English
Publisher
ieee
Conference_Titel
Tools with Artificial Intelligence, 1995. Proceedings., Seventh International Conference on
Conference_Location
Herndon, VA
ISSN
1082-3409
Print_ISBN
0-8186-7312-5
Type
conf
DOI
10.1109/TAI.1995.479518
Filename
479518
Link To Document