NDLI: A probabilistic inductive learning approach to the acquisition of knowledge in medical expert systems

Content Provider	IEEE Xplore Digital Library
Author	Chan, K.C.C. Ching, J.Y. Wong, A.K.C.
Copyright Year	1992
Description	Author affiliation: Waterloo Univ., Ont., Canada (Chan, K.C.C.; Ching, J.Y.; Wong, A.K.C.)
Abstract	An inductive knowledge acquisition method based on the probabilistic inference technique is presented. The proposed system can be applied to generate decision rules automatically for certain medical expert systems. Given a patient database containing historical diagnosis and prognosis information, the method is capable of detecting the inherent probabilistic patterns in the data. Classification knowledge can be synthesized in the form of explicit production rules with associated probabilistic weight of evidence based on the patterns detected. With these rules, new patient cases can be quickly and accurately classified. Using real-world medical data, it is shown that the proposed method performs better in terms of classification accuracy and computational efficiency than some of the major existing methods.<>
Starting Page	572
Ending Page	581
File Size	531932
Page Count	10
File Format	PDF
ISBN	0818627425
DOI	10.1109/CBMS.1992.245017
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1992-06-14
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Medical expert systems Knowledge acquisition Knowledge engineering Humans Medical diagnostic imaging Artificial intelligence Biomedical engineering Diseases Decision trees Databases
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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