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相关概念视频

Classification of Illness01:17

Classification of Illness

The meaning of illness is individualized to each person who experiences an alteration in health. In contrast, disease is a medical term indicating a pathological change in the structure and function of the body or mind. It is a condition that has specific symptoms and boundaries.
An illness is a response to a disease in which the person's level of functioning is changed compared with a previous level. The general classification of illness includes acute and chronic.
Acute illness is severe and...
Classification of Neurotransmitters01:30

Classification of Neurotransmitters

Neurotransmitters play a crucial role in the communication between neurons in the autonomic nervous system. Neurons in the autonomic nervous system can be cholinergic or adrenergic depending on the neurotransmitters synthesized. Cholinergic neurons use acetylcholine as their primary neurotransmitter. This includes all the preganglionic fibers of the sympathetic and pre- and postganglionic fibers of the parasympathetic nervous systems. In addition, neurons of the somatic nervous system also use...
Psychological and Sociocultural Causes of Schizophrenia01:29

Psychological and Sociocultural Causes of Schizophrenia

Schizophrenia, a complex psychiatric disorder, has been historically misunderstood. Early psychological theories attributed its origins to childhood trauma and unresponsive parenting. However, contemporary research largely rejects these notions, favoring the vulnerability-stress hypothesis. This model proposes that individuals with a genetic predisposition to schizophrenia may develop the disorder following exposure to significant environmental stressors. Notably, studies on high-risk...
Depressive Disorders: Etiology01:27

Depressive Disorders: Etiology

Depressive disorders result from a complex interplay of biological, psychological, and sociocultural factors, each contributing uniquely to the development and persistence of the condition. Understanding these factors provides critical insight into the multifaceted nature of depression.
Biological Factors in Depression
Biological predispositions significantly influence the risk of developing depressive disorders. Genetic studies highlight the role of variations in the serotonin transporter...

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通过人工神经网络对精神分裂症病例进行分类,使用日本基于网络的调查数据:病例对照研究

Yupeng He1, Masaaki Matsunaga1, Yuanying Li2

  • 1Department of Public Health, Fujita Health University School of Medicine, Toyoake, Japan.

JMIR formative research
|November 15, 2023
PubMed
概括

这项研究开发了一个人工神经网络 (ANN) 模型,使用日本网络调查数据准确地分类精神分裂症病例. 该ANN模型表现出高性能,有助于精确估计精神分裂症的流行率.

关键词:
日本 日本 日本 日本 日本.人工神经网络的人工神经网络流行病学流行病学机器学习是机器学习.心理健康 心理健康患病率的流行情况.精神错乱是一种精神病.精神分裂症是一种精神分裂症.基于网络的调查调查.

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科学领域:

  • 流行病学 流行病学
  • 机器学习 机器学习
  • 精神病学是一个精神病学.

背景情况:

  • 估计日本的精神分裂症患病率是具有挑战性的.
  • 精神分裂症患者经常经历并发症和健康状况不佳.
  • 机器学习 (ML) 为流行病学研究提供高精度建模.

研究的目的:

  • 为准确的精神分裂症病例分类构建一个人工神经网络 (ANN) 模型.
  • 使用日本网络调查数据验证ANN模型的概括性.

主要方法:

  • 利用一个大型的日本基于网络的调查数据集 (2021年),其中包括223例精神分裂症病例和1776例对照.
  • 使用ANN进行分类,以后勤回归 (LR) 作为参考.
  • 使用诸如接收器运行特征曲线下的面积,精度和特异性等指标比较模型性能.

主要成果:

  • 在曲线下的面积 (0.86比0.78) 和特异性 (0.96比0.94) 方面,ANN模型的表现优于LR.
  • LR显示了更高的灵敏度 (0.63比0.56).
  • 关键的预测变量包括睡眠药物的使用,年龄,收入和就业类型.

结论:

  • 一个ANN模型成功地被开发出来,用于从网络调查数据中分类精神分裂症病例.
  • 该模型显示了高的内部有效性.
  • 这些发现支持改善日本精神分裂症的流行率估计和未来的流行病学研究.