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1
Detecting dysfunctional behavior in adolescents: the examination of relationships using neural networks.检测青少年的功能失调行为:使用神经网络对关系进行考察。
Proc Annu Symp Comput Appl Med Care. 1994:743-6.
2
Relationship of personality, environmental, and DICA variables to adolescent hopelessness: a neural network sensitivity approach.人格、环境和双相情感障碍相关变量与青少年绝望感的关系:一种神经网络敏感性方法。
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本文引用的文献

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Parallel distributed processing and the emergence of schizophrenic symptoms.并行分布式处理与精神分裂症症状的出现
Schizophr Bull. 1993;19(1):119-40. doi: 10.1093/schbul/19.1.119.
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Development of a structured psychiatric interview for children: agreement between child and parent on individual symptoms.儿童结构化精神科访谈的开发:儿童与家长在个体症状上的一致性
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Neural networks and physical systems with emergent collective computational abilities.具有涌现集体计算能力的神经网络与物理系统。
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Hopelessness, depression and suicidal intent in parasuicide.自杀未遂中的绝望、抑郁和自杀意图。
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Hopelessness, depression, and suicidal intent among psychiatrically disturbed inpatient children.精神障碍住院儿童中的绝望、抑郁和自杀意图。
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The hopelessness scale for children: psychometric characteristics and concurrent validity.
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Coping strategies, self-perceptions, hopelessness, and perceived family environments in depressed and suicidal children.抑郁和有自杀倾向儿童的应对策略、自我认知、绝望感及感知到的家庭环境
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Personality, psychiatric disorders, and parental attitude among a community sample of adolescents.青少年社区样本中的人格、精神障碍及父母态度。
J Am Acad Child Adolesc Psychiatry. 1987 Nov;26(6):879-85.
9
Suicide attempts in preadolescent child psychiatry inpatients.青春期前儿童精神科住院患者的自杀未遂情况。
Suicide Life Threat Behav. 1988 Summer;18(2):129-36. doi: 10.1111/j.1943-278x.1988.tb00147.x.
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Depression in child psychiatric inpatients: cognitive and attributional patterns.儿童精神科住院患者的抑郁:认知与归因模式。
J Abnorm Child Psychol. 1988 Dec;16(6):601-15. doi: 10.1007/BF00913472.

检测青少年的功能失调行为:使用神经网络对关系进行考察。

Detecting dysfunctional behavior in adolescents: the examination of relationships using neural networks.

作者信息

Reid J C, Nair S S, Kashani J H, Rao V G

机构信息

University of Missouri, Columbia.

出版信息

Proc Annu Symp Comput Appl Med Care. 1994:743-6.

PMID:7950023
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2247956/
Abstract

We describe a neural network that models the effect of personality, social, and environmental variables on hopelessness in adolescents. A sensitivity analysis suggests the effect that variation in each of the input variables will have on the output. Clinical implications are that health professionals can focus their attention on the variables most likely to impact upon the outcome.

摘要

我们描述了一种神经网络,该网络模拟了人格、社会和环境变量对青少年绝望情绪的影响。敏感性分析表明了每个输入变量的变化对输出的影响。其临床意义在于,健康专业人员可以将注意力集中在最有可能影响结果的变量上。