DocumentCode
2982398
Title
Prediction of number of depression patients based on neural network
Author
Lin, Yun ; Zhang, Yuan
Author_Institution
Sch. of Manage., Capital Normal Univ., Beijing, China
fYear
2012
fDate
22-24 June 2012
Firstpage
599
Lastpage
602
Abstract
Mental disorder is rising year by year. Among them, depression is the most common psychiatric disorders, is also the highest rate of disease. The BP neural network has self-learning ability, adaptive ability and fault tolerance. This paper predict the number of depression patients using BP neural networks , so the government will put more attentions to mental diseases and widely raise public awareness about mental health issues.
Keywords
backpropagation; diseases; medical disorders; neural nets; psychology; BP neural network; adaptive ability; depression patient number prediction; fault tolerance; mental diseases; mental disorder; mental health issues; psychiatric disorders; self-learning ability; Educational institutions; depression; mental disorders; neural network; number of depression patients;
fLanguage
English
Publisher
ieee
Conference_Titel
Software Engineering and Service Science (ICSESS), 2012 IEEE 3rd International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4673-2007-8
Type
conf
DOI
10.1109/ICSESS.2012.6269538
Filename
6269538
Link To Document