在儿科医学疾病中的行为数据驱动的概况
Chelsea L Black1, Xiaozhen You2, Eleanor Fanto2
1Department of Child and Adolescent Psychiatry and Behavioral Sciences, The Children's Hospital of Philadelphia, Philadelphia, PA, USA.
概括
患有疾病的儿童的行为特征与精神疾病患者的行为特征相似,这表明有共同的干预目标. 然而,行为问题的起源 (医学与精神病) 可能会影响治疗的有效性.
科学领域:
- 儿童心理学 儿童心理学
- 神经发育障碍 神经发育障碍
- 行为科学 行为科学
背景情况:
- 行为障碍经常与儿科疾病同时发生,影响各种生活领域.
- 之前的研究使用图形理论分析在患有精神疾病的儿童中确定了三种不同的行为特征 (元认知,情绪调节,抑制).
研究的目的:
- 研究患有儿科疾病的儿童中这些行为特征的存在和特征.
- 评估从精神病样本获得的分类模型对医学样本的适用性.
主要方法:
- 对父报告行为指标的图形理论分析.
- 在精神科队伍中训练的支持矢量机器 (SVM) 分类器应用于患有中枢神经系统疾病的儿童的大型临床数据库.
主要成果:
- 在患有儿科疾病的儿童中,发现了三个类似的行为特征 (元认知,情绪调节,抑制).
- 在应用到医疗样本时,SVM分类器实现了高准确性,表明了显著的重叠,但也有微妙的差异,特别是在抑制特征中.
- 这些发现表明了跨诊断的行为特征,但突出了潜在的病因差异.
结论:
- 这项研究支持了三种适用于精神病学和儿科医学群体的跨诊断行为特征的存在.
- 这些个人资料为个性化干预提供了潜在的目标.
- 行为问题的病因 (精神病与医学) 需要考虑量身定制的治疗方法.
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