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相关概念视频

Classification of Illness01:17

Classification of Illness

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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...
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Biological Causes of Schizophrenia01:29

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Schizophrenia, a severe psychiatric disorder, arises from a complex interplay of biological factors, including genetic predisposition, structural brain abnormalities, neurotransmitter dysregulation, and developmental irregularities. These factors collectively contribute to the onset and progression of the disorder, which typically manifests in late adolescence or early adulthood.
Genetic Factors in Schizophrenia
The genetic basis of schizophrenia is strongly supported by family and twin...
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Schizophrenia01:17

Schizophrenia

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Schizophrenia, a term introduced by Swiss psychiatrist Eugen Bleuler in 1911, describes a severe psychological disorder marked by profound disruptions in attention, thought processes, language, emotion, and interpersonal relationships. The core feature of schizophrenia is psychosis — a state characterized by a fundamental detachment from reality. This disconnection manifests through distorted logic, impaired perception, and atypical behavior, severely affecting the lives of those...
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Psychological and Sociocultural Causes of Schizophrenia01:29

Psychological and Sociocultural Causes of Schizophrenia

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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...
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Psychosis: Pathophysiology of Schizophrenia and Other Psychotic Disorders01:27

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Schizophrenia is a neurodevelopmental disorder whose origins are rooted in complex genetic components. Despite our burgeoning understanding, the pathophysiology of this disorder remains incompletely deciphered.
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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...
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相关实验视频

Updated: Jul 23, 2025

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
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基于机器学习的分类精神分裂症患者的方法

Carmen Soria1,2, Yoel Arroyo3, Ana María Torres1

  • 1Institute of Technology, University of Castilla-La Mancha, 16071 Cuenca, Spain.

Journal of clinical medicine
|July 14, 2023
PubMed
概括

机器学习,特别是极端梯度增强 (XGB),使用脑电图 (EEG) 信号准确地分类精神分裂症. 这种自动化分析显示出高性能,有助于临床诊断.

关键词:
人工智能的人工智能是人工智能.生物医学信号 生物医学信号机器学习是机器学习.精神障碍 精神障碍 精神障碍精神分裂症 精神分裂症

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科学领域:

  • 神经科学是一个神经科学.
  • 计算精神病学是一种计算精神病学.
  • 医疗信息学 医疗信息学

背景情况:

  • 精神分裂症显著影响对刺激的感知和反应.
  • 脑电图 (EEG) 是一种有价值的,非侵入性工具,用于评估大脑疾病.
  • 手动EEG分析耗时,需要自动化方法.

研究的目的:

  • 开发和评估用于精神分裂症自动化EEG分析的机器学习 (ML) 方法.
  • 评估 eXtreme渐变增强 (XGB) 算法的性能,用于对精神分裂症患者进行分类.

主要方法:

  • 使用XGB算法开发了一种ML方法来分析EEG信号.
  • 将XGB方法的性能与其他四种监督的ML算法进行了比较.
  • 关键的绩效指标包括曲线下的面积 (AUC) 和准确性.

主要成果:

  • 提出的基于XGB的方法实现了卓越的性能,AUC为0.94,准确度为0.94.
  • 该系统在根据EEG数据对精神分裂症患者进行分类时表现出高准确性和稳定性.
  • 在研究中评估的其他四种监督ML方法中,XGB的表现优于其他四种监督ML方法.

结论:

  • 基于XGB的ML方法提供了一个非常准确和强大的方法,通过EEG检测精神分裂症.
  • 这种自动化系统可以作为一个有价值的补充工具,以支持医院的临床诊断.
  • 这些发现表明,可以提高诊断精神分裂症的效率和准确性.