International Conference on Computing, Communication &Amp; Automation 2015
DOI: 10.1109/ccaa.2015.7148357
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Data mining approach for diagnose of anxiety disorder

Abstract: Themental disorder is one of the top five reasons for the cause of death in world and suicide is the third leading cause of death among young adults worldwide. Due to the unawareness and social embarrassment, this disease is normally undiagnosed. Study says that one of every four Indians affected by anxiety disorder, out of which 10% depressed. The reasons affecting the mental health of the Indian patients need to be identified through which better cognitive behavioral therapy can be given by the psychiatrist.… Show more

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Cited by 12 publications
(2 citation statements)
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“…According to the survey, many of the victims who did not use the public health services were not properly informed on how to handle their situation [19]. According to research [20], Naive Bayes provides accurate results for small datasets, but accuracy does not scale up for huge databases. Additionally, a significant number of rules are created via a priori association rule mining, which slows down searches and makes interpretation by domain experts challenging.…”
Section: Literature Reviewmentioning
confidence: 99%
“…According to the survey, many of the victims who did not use the public health services were not properly informed on how to handle their situation [19]. According to research [20], Naive Bayes provides accurate results for small datasets, but accuracy does not scale up for huge databases. Additionally, a significant number of rules are created via a priori association rule mining, which slows down searches and makes interpretation by domain experts challenging.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Dmonte et al [3] presented a new method of data mining approach for diagnose of anxiety disorder. This method has been proposed to be used to identify and predict anxiety disorder.…”
Section: Related Workmentioning
confidence: 99%