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

Primary Healthcare Services01:30

Primary Healthcare Services

1.9K
Primary care promotes wellness and prevents disease. This care includes health promotion, education, protection (such as immunizations), early disease screening, and environmental considerations. Settings providing this type of healthcare include physician offices, public health clinics, school nursing, and community health nursing.
In 1978, international leaders convened in Alma-Ata, Kazakhstan, for what would be a pivotal event in global health. The Alma-Ata Declaration was the first to call...
1.9K
Levels of Health Promotion and Illness Prevention01:26

Levels of Health Promotion and Illness Prevention

14.1K
Health promotion allows a person to control the determinants of health, resulting in an improved health status. It enhances the quality of life and reduces premature deaths. Health promotion and illness prevention programs help people make beneficial choices to reduce the risk of disease and disabilities. There are three health promotion and illness prevention levels: primary, secondary, and tertiary prevention.
In primary prevention, actions taken before disease onset prevent the disease from...
14.1K
Preventive Healthcare Services01:30

Preventive Healthcare Services

1.8K
Preventive healthcare services keep people healthy via frequent check-ups, screening, and counseling. They primarily aid in disease prevention rather than treating an acute or chronic illness. Preventive treatment also keeps individuals productive and energetic, allowing them to work well into their retirement years. Examples of preventive care services include:
1.8K
Principles of Disease Surveillance01:26

Principles of Disease Surveillance

439
Disease surveillance is the systematic collection, analysis, and interpretation of health data essential to the planning, implementation, and evaluation of public health practice. This process integrates data dissemination to entities responsible for preventing and controlling disease, injury, and disability. Surveillance systems provide crucial information for action, helping public health authorities make informed decisions to manage and prevent outbreaks, ensure public safety, optimize...
439
Healthcare Agencies II01:17

Healthcare Agencies II

1000
There are various healthcare agencies in the United States—some of which are managed by religious institutions and others by different government branches.
Parish nursing is a growing specialty nursing profession that focuses on holistic healthcare, health promotion, and illness prevention. It blends professional nursing practice with a health ministry, focusing on health and healing within the context of a Christian community. Parish nurses serve as health educators, referral sources,...
1000
Methods Of Healthcare Delivery System01:26

Methods Of Healthcare Delivery System

3.9K
At the different levels of the healthcare system, we see varying methods of healthcare used. These methods include managed care systems, case management, and primary healthcare.
Managed Care System:
The managed care system is designed to control the cost while maintaining the quality of care. The patient's care from admission to discharge is planned by the primary care provider or the case manager, also known as the gatekeeper. In a managed care system, the number of care providers is...
3.9K

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

Clinical Manifestations.

Alzheimer's & dementia : the journal of the Alzheimer's Association·2025
Same author

Clinical Manifestations.

Alzheimer's & dementia : the journal of the Alzheimer's Association·2025
Same author

The Burden of Pain Symptoms in Individuals with Uterine Fibroids-Results from a Prospective Observational Study in the USA.

International journal of women's health·2024
Same author

Receptive-field nonlinearities in primary auditory cortex: a comparative perspective.

Cerebral cortex (New York, N.Y. : 1991)·2024
Same author

Modelling the Distribution of Cognitive Outcomes for Early-Stage Neurocognitive Disorders: A Model Comparison Approach.

Biomedicines·2024
Same author

The role of perfusion, grey matter volume and behavioural phenotypes in the data-driven classification of cognitive syndromes.

Alzheimer's research & therapy·2024
Same journal

Multimorbidity burden and patterns associated with DeepBrainNet-derived brain-age gap in dementia-free older adults: A community-based study.

Alzheimer's & dementia : the journal of the Alzheimer's Association·2026
Same journal

Correlates and predictors of self-efficacy among dementia caregivers: D-CARE findings.

Alzheimer's & dementia : the journal of the Alzheimer's Association·2026
Same journal

What should convince a clinician of disease modification in Alzheimer's disease clinical trials?

Alzheimer's & dementia : the journal of the Alzheimer's Association·2026
Same journal

Primary cilia-extracellular vesicle crosstalk in Alzheimer's disease: Emerging mechanisms and biomarker potential.

Alzheimer's & dementia : the journal of the Alzheimer's Association·2026
Same journal

Evidence for progressive neurodegeneration in iatrogenic cerebral amyloid angiopathy.

Alzheimer's & dementia : the journal of the Alzheimer's Association·2026
Same journal

Human brain connectome profiles mediate the relationship between pathology burden and clinical phenotypes in Alzheimer's disease.

Alzheimer's & dementia : the journal of the Alzheimer's Association·2026
查看所有相关文章

相关实验视频

Updated: Jan 8, 2026

Determining Soil-transmitted Helminth Infection Status and Physical Fitness of School-aged Children
10:57

Determining Soil-transmitted Helminth Infection Status and Physical Fitness of School-aged Children

Published on: August 22, 2012

24.2K

公共卫生 公共卫生

Jermyn Z See1, Kin Jun See1, See Ann Soo1

  • 1Neurowyzr Pte Ltd, Singapore, Singapore, Singapore.

Alzheimer's & dementia : the journal of the Alzheimer's Association
|December 23, 2025
PubMed
概括
此摘要是机器生成的。

机器学习,特别是XGBoost,使用健康和生活方式数据准确地分类痴呆症,阿尔茨海默病 (AD) 和轻度认知障碍 (MCI). 这种方法有助于在大量人群中早期诊断和未来风险预测.

更多相关视频

Visualizing Field Data Collection Procedures of Exposure and Biomarker Assessments for the Household Air Pollution Intervention Network Trial in India
09:33

Visualizing Field Data Collection Procedures of Exposure and Biomarker Assessments for the Household Air Pollution Intervention Network Trial in India

Published on: December 23, 2022

2.6K
Dried Blood Spot Collection of Health Biomarkers to Maximize Participation in Population Studies
07:20

Dried Blood Spot Collection of Health Biomarkers to Maximize Participation in Population Studies

Published on: January 28, 2014

37.1K

相关实验视频

Last Updated: Jan 8, 2026

Determining Soil-transmitted Helminth Infection Status and Physical Fitness of School-aged Children
10:57

Determining Soil-transmitted Helminth Infection Status and Physical Fitness of School-aged Children

Published on: August 22, 2012

24.2K
Visualizing Field Data Collection Procedures of Exposure and Biomarker Assessments for the Household Air Pollution Intervention Network Trial in India
09:33

Visualizing Field Data Collection Procedures of Exposure and Biomarker Assessments for the Household Air Pollution Intervention Network Trial in India

Published on: December 23, 2022

2.6K
Dried Blood Spot Collection of Health Biomarkers to Maximize Participation in Population Studies
07:20

Dried Blood Spot Collection of Health Biomarkers to Maximize Participation in Population Studies

Published on: January 28, 2014

37.1K

科学领域:

  • 神经科学是一个神经科学.
  • 计算生物学 计算生物学
  • 公共卫生 公共卫生

背景情况:

  • 精确的痴呆症,阿尔茨海默病 (AD) 和轻度认知障碍 (MCI) 的分类对于及时诊断和干预至关重要.
  • 机器学习 (ML) 为改善痴呆症研究中的参与者分层提供了潜力.
  • 像英国生物银行这样的大型数据集对于识别预测因素非常有价值.

研究的目的:

  • 调查ML方法,特别是XGBoost在对健康队列进行痴呆症,AD或MCI参与者的分类方面的有效性.
  • 为了确定关键的并发症和生活方式因素预测认知障碍.
  • 探索ML对未诊断人群风险预测的有用性.

主要方法:

  • 分析了超过50万名英国生物库参与者,按认知状态 (健康,痴呆,AD,MCI) 分类.
  • 使用XGBoost进行分类,包括并发病 (高血压,糖尿病) 和生活方式因素 (吸烟,体力活动) 等特征.
  • 五倍交叉验证与子样本,以解决类不平衡,以平均AUROC来衡量性能.

主要成果:

  • 在对参与者进行分类时,XGBoost 实现了平均 AUROC 约为 0.81.
  • 关键预测因素包括高血压,中风和伴随疾病的心脏病.
  • 强烈的体力活动,酒精摄入量和吸烟是重要的生活方式预测因素.

结论:

  • 通过XGBoost示例的ML方法,在对被诊断为认知障碍的个体进行分类方面表现出高准确度.
  • 功能重要性分析揭示了影响认知状态的关键健康和生活方式因素.
  • 这项研究支持开发基于ML的风险预测模型,用于早期痴呆症检测和干预.