NDLI: Clinical diagnosis support system based on symptoms and remarks by neural networks

Content Provider	IEEE Xplore Digital Library
Author	Matsumoto, T. Shimada, Y. Kawaji, S.
Copyright Year	2004
Description	Author affiliation: Dept. of Electr. Control Eng., Kumamoto Nat. Coll. of Technol. (Matsumoto, T.)
Abstract	The importance of developing a support system for medical decision-making in the clinical field has been pointed out in order to improve accuracy and objectivity of the judgment of clinician, and to detect early the disease. Various attempts on clinical diagnosis support have been done in the literature, e.g. rule-based production system, analysis of ECG or the image, focusing on only specific diseases, so those can not utilized for the general internal medicine diagnosis support. In this paper, it is noticed that signs, symptoms, remarks, clinical laboratory data such as blood and biochemical check up data are essential information which show functional depression and failure of the ecosystem, and a practical software system providing the physicians with clues to clinical diagnosis. First, after analysis of the medical task and structuralization of information from the patient, the medical modelling method is provided, and it is indicated that diagnosis can be considered the identification of patient who corresponds to the controlled object. Secondly, by the concept of patient model and disease model, the system identification algorithm is proposed, and actual system constructed for the medical diagnosis is described using neural networks. The diagnaccuracy of this system using symptoms and remarks data from medical journal case reports is also described
Starting Page	1304
Ending Page	1307
File Size	661678
Page Count	4
File Format	PDF
ISBN	0780386434
DOI	10.1109/ICCIS.2004.1460780
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-12-01
Publisher Place	Singapore
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Clinical diagnosis Neural networks Biomedical imaging Medical diagnostic imaging Diseases Decision making Production systems Image analysis Electrocardiography Laboratories
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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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
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