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相关概念视频

Information Processing Approach01:30

Information Processing Approach

38
The information-processing theory of cognitive development centers on fundamental mental processes, including attention, memory, and problem-solving skills. Researchers in this field examine how cognitive abilities, such as working memory, evolve and influence children's overall development. Studies indicate that children with stronger working memory tend to excel in reading comprehension, math, and problem-solving compared to peers with less efficient memory skills. Low working memory is...
38
The Nativist Approach01:21

The Nativist Approach

56
The nativist approach to infant cognitive development proposes that infants are born with inherent knowledge structures that allow them to interpret the world almost immediately. This perspective contrasts with earlier developmental theories, such as those proposed by Jean Piaget, which emphasized a more gradual acquisition of cognitive abilities through interaction with the environment. One key concept in this approach is object permanence — the understanding that objects continue to...
56
Intellectual Disability01:29

Intellectual Disability

55
Intellectual disability (ID) is a neurodevelopmental condition characterized by deficits in intellectual and adaptive functioning that manifest during the developmental period. This condition encompasses challenges in reasoning, memory, problem-solving, and learning, accompanied by impairments in everyday life skills, such as communication, self-care, and social interactions. Intellectual disability affects approximately 1% of the population in the United States, impacting an estimated 5...
55
Biological Influences on Intelligence01:30

Biological Influences on Intelligence

109
Intelligence is often thought to be linked to brain size, but the relationship is more complex than that. While brain size does correlate modestly with some abilities, like verbal skills, the connection is weaker for others, such as spatial reasoning. Other factors, like brain structure, also play crucial roles. For instance, despite Einstein's smaller-than-average brain, his parietal cortex, which is involved in spatial reasoning, was 15% wider, suggesting that neural density might matter...
109
Language and Cognition01:27

Language and Cognition

348
Language serves as a bridge between ideas and communication, influencing how individuals perceive and interact with the world. Psychologists have long debated whether language shapes thought or vice versa. This discussion gained grip with Edward Sapir and Benjamin Lee Whorf in the 1940s, who proposed that language determines thought, a concept known as linguistic determinism. They suggested that the vocabulary and structure of a language influence how its speakers think and perceive reality.
348

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A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
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在5岁时使用围产期数据和机器学习预测低认知能力.

Andrea K Bowe1, Gordon Lightbody2,3, Daragh S O'Boyle2

  • 1INFANT Research Centre, University College Cork, Cork, Ireland. abowe@ucc.ie.

Pediatric research
|January 4, 2024
PubMed
概括

研究人员开发了一种机器学习模型,以预测患有认知发育不良风险的婴儿. 该模型使用了早期生命数据,显示了早期识别和有针对性的查的前景,尽管在人口层面上使用需要进一步改进.

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科学领域:

  • 发育儿科 发育儿科
  • 医疗保健中的机器学习
  • 人口健康 人口健康

背景情况:

  • 缺乏早期,准确和可扩展的方法来识别患有不良认知结果高风险的婴儿.
  • 需要预测工具,以便及时干预和支持处于危险的儿童.

研究的目的:

  • 利用机器学习和基于人口的队列数据开发一种可解释的预测模型.
  • 为了确定婴儿在童年时具有较低认知结果的高风险,用于早期干预.

主要方法:

  • 利用了来自全国代表性的"在爱尔兰成长"队列中的8858名参与者的数据.
  • 在9个月时收集母亲,婴儿和社会经济特征;在5岁时测量认知能力.
  • 采用数据预处理,合成少数人过量采样,特征选择和随机森林模型,通过十倍交叉验证的网格搜索进行超参数调整.

主要成果:

  • 一个随机森林模型有15个易于收集的特征,实现了接受器操作特征曲线 (AUROC) 下的面积为0.77,用于预测5岁低认知能力.
  • 该模型确定了72%的婴儿具有低认知能力,其特异性为66%.

结论:

  • 开发的模型代表了迈向早期的第一步,认知发展的个人风险分层.
  • 为了实现作为人口层面查工具的实施,需要进一步提高性能.
  • 突出了机器学习的潜力,用于识别周产期的有风险的婴儿.