NDLI: Application of Rough Sets in diagnosis of the depressive state of mind

Content Provider	IEEE Xplore Digital Library
Author	Mittal, T. Gupta, P. Chakraverty, S.
Copyright Year	2014
Description	Author affiliation: Dept. of Comput. Eng., Univ. of Delhi, New Delhi, India (Mittal, T.; Gupta, P.; Chakraverty, S.)
Abstract	Rough Set Theory is an emerging rule based soft computing methodology that employs approximations of crisp concepts. It has been used widely for knowledge discovery in real life data-centric applications that typically include uncertain or incomplete data. This paper describes an application of rough sets in identifying depressive episodes in the field of psychiatry. The core concepts of rough sets such as Reduct and Core are used to reduce the number of descriptive attributes based on their relative significance. The reduced information system yields a compact set of high-strength rules that identify the state of mind of a person to categorize new patients with high accuracy. We illustrate how Rough Sets can find symbolic and easily readable rules that could be used fruitfully by psychiatrists for clinical diagnosis.
Sponsorship	IEEE Chandigarh Subsect.
Starting Page	1
Ending Page	6
File Size	237861
Page Count	6
File Format	PDF
e-ISBN	9781479922918
DOI	10.1109/RAECS.2014.6799520
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-03-06
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Accuracy Depressive state of mind Mood Training data Rough sets Knowledge discovery Cognition Approximation methods Psychiatry Reduct Core
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
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
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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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