Artificial neural network to assist psychiatric diagnosis

doi:10.1192/bjp.169.1.64

CORC > 生态环境研究中心 > 中国科学院生态环境研究中心 > 中国科学院环境生物技术重点实验室

	Artificial neural network to assist psychiatric diagnosis
	Zou, YZ; Shen, YC; Shu, LA; Wang, YF; Feng, F; Xu, KQ; Qu, Y; Song, YM; Zhong, YX; Wang, MH
刊名	BRITISH JOURNAL OF PSYCHIATRY
	1996
卷号	169 期号:1 页码:64-67
DOI	10.1192/bjp.169.1.64
英文摘要	Background. Artificial Neural Network (ANN), as a potential powerful classifier, was explored to assist psychiatric diagnosis of the Composite International Diagnostic Interview (CIDI). Method. Both Back-Propagation (BP) and Kohonen networks were developed to fit psychiatric diagnosis and programmed (using 60 cases) to classify neurosis, schizophrenia and normal people. The programmed networks were cross-tested using another 222 cases. All subjects were randomly selected from two mental hospitals in Beijing. Results. Compared to ICD-10 diagnosis by psychiatrists, the overall kappa of BP network was 0.94 and that of Kohonen was 0.88 (both P< 0.01). In classifying patients who were difficult to diagnose, the kappa of BP was 0.69 (P < 0.01). ANN-assisted CIDI was compared with expert system assisted CIDI (kappa = 0.72-0.76); ANN was more powerful than a traditional expert system. Conclusion. ANN might be used to improve psychiatric diagnosis.
WOS研究方向	Psychiatry
内容类型	期刊论文
源URL	[http://ir.rcees.ac.cn/handle/311016/24395]
专题	生态环境研究中心_中国科学院环境生物技术重点实验室
推荐引用方式 GB/T 7714	Zou, YZ,Shen, YC,Shu, LA,et al. Artificial neural network to assist psychiatric diagnosis[J]. BRITISH JOURNAL OF PSYCHIATRY,1996,169(1):64-67.
APA	Zou, YZ.,Shen, YC.,Shu, LA.,Wang, YF.,Feng, F.,...&Liu, WQJ.(1996).Artificial neural network to assist psychiatric diagnosis.BRITISH JOURNAL OF PSYCHIATRY,169(1),64-67.
MLA	Zou, YZ,et al."Artificial neural network to assist psychiatric diagnosis".BRITISH JOURNAL OF PSYCHIATRY 169.1(1996):64-67.