NDLI: Bayesian network modeling for diagnosis of social anxiety using some cognitive-behavioral factors

Content Provider	SpringerLink
Author	Sadeghi Oskooyee, Koosha Jeddi Moghaddam, Farnaz Moradi Moosavy, Shima Riahi Kashani, Mohammad Mansour Taherifar, Zahra Sari, Simin Shojaei Estabragh, Zakiyeh
Copyright Year	2013
Abstract	Nowadays a lot of systems are developed to predict or suggest a diagnosis about the health level of a patient for helping physicians in their decisional process. Recent researches prove that decisional systems implemented by Bayesian networks represent an efficient tool for medical healthcare practitioners. Bayesian networks are graphical models with significant capabilities that can be used for medical predictions and diagnosis. Social anxiety disorder is the third most common psychiatric disorder in America behind depression and alcohol abuse. This paper focuses on the use of Bayesian network in assisting social anxiety disorder diagnosis. The network is constructed manually based on the domain knowledge and the conditional probability tables are learned by using the Netica software. This research provides a Bayesian network-based analysis of data set, collected from a number of university students. The model can be an efficient tool for medical healthcare practitioners in diagnosis of social anxiety.
Starting Page	257
Ending Page	265
Page Count	9
File Format	PDF
ISSN	21926662
Journal	Network Modeling Analysis in Health Informatics and Bioinformatics
Volume Number	2
Issue Number	4
e-ISSN	21926670
Language	English
Publisher	Springer Vienna
Publisher Date	2013-09-04
Publisher Place	Vienna
Access Restriction	Subscribed
Subject Keyword	Computational Biology/Bioinformatics Disease diagnosis Decision making Social anxiety Complex Networks Health Informatics Cognitive-behavioral factors Bayesian networks Bioinformatics
Content Type	Text
Resource Type	Article
Subject	Urology

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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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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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