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相关概念视频

Autism Spectrum Disorder01:19

Autism Spectrum Disorder

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Autism spectrum disorder (ASD) is a neurodevelopmental condition marked by persistent deficits in social communication and interaction alongside restrictive and repetitive behaviors or interests. ASD is sometimes accompanied by intellectual impairment.
These core symptoms manifest differently among individuals, ranging from mild to severe. The disorder's complexity extends beyond its clinical presentation, encompassing a diverse range of biological, cognitive, and sociocultural influences.
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The Electromagnetic Spectrum02:37

The Electromagnetic Spectrum

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The electromagnetic spectrum consists of all the types of electromagnetic radiation arranged according to their frequency and wavelength. Each of the various colors of visible light has specific frequencies and wavelengths associated with them, and you can see that visible light makes up only a small portion of the electromagnetic spectrum. Because the technologies developed to work in various parts of the electromagnetic spectrum are different, for reasons of convenience and historical...
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The Electromagnetic Spectrum01:24

The Electromagnetic Spectrum

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Electromagnetic waves are categorized according to their wavelengths and frequencies, giving the electromagnetic spectrum. These waves are classified as radio, infrared, ultraviolet, etc. Radio waves refer to electromagnetic radiation with wavelengths ranging from millimeters to kilometers. Radio waves are commonly used for audio communications (i.e., radios) and typically result from an alternating current in the wires of a broadcast antenna. They cover a broad wavelength range and are used...
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IR Spectrum01:19

IR Spectrum

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When infrared (IR) radiation passes through a molecule, the bonds stretch or bend by absorbing the radiation. This absorption creates the molecule's absorption spectrum, which is the plot of its percentage transmittance versus wavenumber.
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Mass Spectrum01:23

Mass Spectrum

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A mass spectrum is the graphical representation of the relative abundance of the charged fragments in an analyte plotted against their mass-to-charge ratio (m/z). The plot's x-axis represents the ratio of the mass of the charged fragment to the number of charges it carries. The y axis of the plot represents the relative abundance of each charged species. The relative abundance is calculated from the signal intensity of each charged species recorded at the detector. The most intense signal (the...
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When light passes through a substance, a portion of the light is absorbed while the remaining light is reflected or transmitted. If the molecule absorbs light between the wavelengths of 180–400 nm range, the UV spectrum is obtained, and if it absorbs light in the 400–780 nm wavelength range, the visible spectrum is obtained.     
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相关实验视频

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Testing Sensory and Multisensory Function in Children with Autism Spectrum Disorder
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深度转移学习和可解释的AI框架用于在多个数据集中检测自闭症谱系障碍.

Shtwai Alsubai1,2

  • 1Department of Computer Science, College of Computer Engineering and Sciences, Prince Sattam bin Abdulaziz University, Al-Kharj, Saudi Arabia.

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概括

使用深度神经网络 (DNN) 进行转移学习,在各种数据集中有效检测自闭症谱系障碍 (ASD). 这种方法确定了常见的行为指标,提高了ASD查的跨数据集分类准确性.

关键词:
在ASD中,使用的是ASD.交叉数据集验证交叉数据集验证深度神经网络是一个神经网络.可以解释的人工智能AI医疗保健 医疗保健 医疗保健 医疗保健转移学习转移学习

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科学领域:

  • 神经科学是一个神经科学.
  • 计算机科学 计算机科学
  • 机器学习 机器学习

背景情况:

  • 自闭症谱系障碍 (ASD) 的检测仍然是一个挑战,特别是在有限或不平衡的数据集.
  • 传统的机器学习和深度学习模型经常在不同数据源的概括性方面扎.
  • 开发强大而准确的自闭症查工具对于早期干预至关重要.

研究的目的:

  • 介绍一种用于自闭症谱系障碍 (ASD) 检测的新型转移学习方法.
  • 评估深度神经网络 (DNN) 在跨数据集ASD分类中的性能.
  • 使用可解释的人工智能识别ASD的常见行为指标.

主要方法:

  • 在沙特阿拉伯的小孩ASD查数据集上训练了一个基线模型,使用数据增强 (SMOTE) 和DNN架构与规范化和退出.
  • 训练DNN模型的知识被转移到两个独立的ASD数据集中.
  • 模型性能使用标准指标和可解释的AI技术进行评估.

主要成果:

  • DNN架构显著优于其他模型,如LSTM和注意力LSTM.
  • 转移学习表现出更好的表现,特别是在处理有限的培训数据时.
  • 可解释的人工智能提供了对不同人群中ASD分类关键特征的见解.

结论:

  • 转移学习是跨数据集ASD分类的有效策略.
  • 对于自闭症的常见行为指标似乎存在于各种各样的人口和数据收集环境中.
  • 这种方法有望提高ASD查工具的准确性和通用性.