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
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;
Conference_Titel :
Software Engineering and Service Science (ICSESS), 2012 IEEE 3rd International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-2007-8
DOI :
10.1109/ICSESS.2012.6269538