Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Regression Toward the Mean01:52

Regression Toward the Mean

6.3K
Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when...
6.3K
Classification of Systems-I01:26

Classification of Systems-I

186
Linearity is a system property characterized by a direct input-output relationship, combining homogeneity and additivity.
Homogeneity dictates that if an input x(t) is multiplied by a constant c, the output y(t) is multiplied by the same constant. Mathematically, this is expressed as:
186
Classification of Systems-II01:31

Classification of Systems-II

146
Continuous-time systems have continuous input and output signals, with time measured continuously. These systems are generally defined by differential or algebraic equations. For instance, in an RC circuit, the relationship between input and output voltage is expressed through a differential equation derived from Ohm's law and the capacitor relation,
146
Survival Tree01:19

Survival Tree

86
Survival trees are a non-parametric method used in survival analysis to model the relationship between a set of covariates and the time until an event of interest occurs, often referred to as the "time-to-event" or "survival time." This method is particularly useful when dealing with censored data, where the event has not occurred for some individuals by the end of the study period, or when the exact time of the event is unknown.
 Building a Survival Tree
Constructing a...
86
Attachment01:20

Attachment

63
Attachment is vital for infant development, as warm social interactions support growth and well-being. In a classic 1958 study by Harry Harlow, the significance of warmth and comfort in forming attachments was examined. Harlow separated newborn monkeys from their mothers and provided two artificial "mothers": one made of cold wire and the other covered in soft cloth. Despite the wire mother offering food, the infant monkeys preferred the comfort of the cloth mother, demonstrating that...
63
Stereotype Content Model02:16

Stereotype Content Model

14.7K
The Stereotype Content Model (SCM) was first proposed by Susan Fiske and her colleagues (Fiske, Cuddy, Glick & Xu, 2002; see also Fiske, 2012 and Fiske, 2017). The SCM specifies that when someone encounters a new group, they will stereotype them based on two metrics: warmth—or that group’s perceived intent, and how likely they are to provide help or inflict harm—and competence—or their ability to carry out that objective. Depending on the warmth-competence...
14.7K

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Expanding the Roles of Medical Educators in the Generative Artificial Intelligence Era: A Qualitative Study.

Medical science educator·2026
Same author

Short-Term Outcomes of Robot-Assisted Versus Laparoscopic Colectomy for Colon Cancer: A Propensity Score-Matched Analysis.

Annals of gastroenterological surgery·2026
Same author

Graph Topology Reframes the Coherence of Cell-State Manifold Inference under Heterogeneous Single-Cell Observations.

Computational and structural biotechnology journal·2026
Same author

Emulsion-Templated Gel Embedding: A Microfluidics-Free Method for Scalable Cell Encapsulation in Hydrogel Microcapsules.

ACS biomaterials science & engineering·2026
Same author

Effects of activity pacing-related interventions on cancer-related fatigue and classification of behavior change techniques: A systematic review and meta-analysis.

Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer·2026
Same author

Use of Commercially Available Large Language Models to Generate Information Leaflets on Post-Intensive Care Syndrome: Clinical Utility Assessment.

JMIR formative research·2026

相关实验视频

Updated: Jul 4, 2025

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
12:18

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

7.5K

可解释的机器学习分类来识别育儿母亲中的弱势群体:基于Web的横截面问卷研究

Akiko Hanai1,2,3, Tetsuo Ishikawa1,2,3,4, Shoko Sugao5

  • 1Medical Data Mathematical Reasoning Team, Advanced Data Science Project, RIKEN Information R&D and Strategy Headquarters, RIKEN, Yokohama, Japan.

JMIR formative research
|February 7, 2024
PubMed
概括

育儿弹性有所不同,影响到母亲的心理社会福祉. 一个机器学习分类器发现脆弱的母亲经历了更高的抑郁情绪,结合问题和睡眠质量差的比率.

关键词:
适应 适应 适应 适应在产前产前产前产前孩子们的孩子们的孩子们的孩子们.抑郁 抑郁症 抑郁症 抑郁症 抑郁症数字健康数字健康可以解释的机器学习.婴儿婴儿婴儿婴儿婴儿婴儿婴儿机器学习是机器学习.母亲的母亲的母亲.手机电话 手机电话手机电话母亲 母亲 母亲 母亲母亲的健康母亲的健康新生儿新生儿的新生儿父母的养育方式父母的父母的父母的父母的父母的父母的父母.感知到的支持支持.在分娩后的产后.这是一个心理社会心理社会问题.恢复力 恢复力调查调查调查调查调查调查调查调查没有监督的集群聚类.基于网络的基于网络的女人 女人 女人 女人 女人

更多相关视频

A Common Marmoset Model of Mother-Infant Intervention for Breastfeeding Disorders in the Presence of Paternal Inhibition and Maternal Neglect
05:04

A Common Marmoset Model of Mother-Infant Intervention for Breastfeeding Disorders in the Presence of Paternal Inhibition and Maternal Neglect

Published on: September 22, 2023

448
A Novel Experimental and Analytical Approach to the Multimodal Neural Decoding of Intent During Social Interaction in Freely-behaving Human Infants
11:14

A Novel Experimental and Analytical Approach to the Multimodal Neural Decoding of Intent During Social Interaction in Freely-behaving Human Infants

Published on: October 4, 2015

10.9K

相关实验视频

Last Updated: Jul 4, 2025

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
12:18

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

7.5K
A Common Marmoset Model of Mother-Infant Intervention for Breastfeeding Disorders in the Presence of Paternal Inhibition and Maternal Neglect
05:04

A Common Marmoset Model of Mother-Infant Intervention for Breastfeeding Disorders in the Presence of Paternal Inhibition and Maternal Neglect

Published on: September 22, 2023

448
A Novel Experimental and Analytical Approach to the Multimodal Neural Decoding of Intent During Social Interaction in Freely-behaving Human Infants
11:14

A Novel Experimental and Analytical Approach to the Multimodal Neural Decoding of Intent During Social Interaction in Freely-behaving Human Infants

Published on: October 4, 2015

10.9K

科学领域:

  • 母亲心理健康 母亲心理健康
  • 心理社会适应能力
  • 机器学习在医疗保健中的应用

背景情况:

  • 育儿是一个重要的生命事件,需要性和适应性.
  • 母亲在抚养孩子期间的性和感知到的支持是可变的,创造了一个不清楚的现实世界的画面.
  • 产后检查可能无法完全捕捉到母亲面临的各种挑战.

研究的目的:

  • 探索从新生儿到幼儿阶段的母亲的心理社会地位.
  • 开发一种机器学习分类器,识别母亲的性和适应性特征.
  • 确定在育儿期间脆弱的孕产妇人群.

主要方法:

  • 进行了一项基于网络的横截面调查.
  • 使用可解释的k-means集群来构建适应性和适应性的分类器.
  • 该分类器应用于新生儿,婴儿和幼儿队列,以评估心理社会状态 (EPDS,PBQ,PSQI).

主要成果:

  • 一个分类器将1559名参与者分为5组,根据性和适应性进行分层.
  • 在性和适应方面遇到最大困难的母亲表现出更高的抑郁情绪,结合问题和睡眠质量差的发病率.
  • 婴儿和幼儿队伍中的脆弱群体与没有困难的群体相比,心理社会问题的相对流行率显著更高.

结论:

  • 一个整合性,适应性和感知支持的分类器有效地确定了心理社会脆弱的母亲.
  • 在新生儿,婴儿和幼儿阶段确定了脆弱群体,具有不同的个人资料.
  • 婴儿队列的脆弱群体表现出特别高的抑郁情绪和睡眠质量差的相对流行率.