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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...
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Levels of Health Promotion and Illness Prevention01:26

Levels of Health Promotion and Illness Prevention

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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...
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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:
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Principles of Disease Surveillance01:26

Principles of Disease Surveillance

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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

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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,...
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Methods Of Healthcare Delivery System01:26

Methods Of Healthcare Delivery System

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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...
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Updated: Jan 8, 2026

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

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公共卫生 公共卫生

Paul Heider1, Sara Knox1, Stephanie Aghamoosa1

  • 1Medical University of South Carolina, Charleston, SC, USA.

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|December 23, 2025
PubMed
概括
此摘要是机器生成的。

这项研究探索了使用临床笔记识别阿尔茨海默病和相关痴呆症 (ADRD) 的新方法. 虽然ICD代码显示偏差,但随机森林模型为ADRD电子表型提供了更平衡的方法.

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科学领域:

  • 医疗信息学 医疗信息学
  • 计算语言学 计算语言学
  • 老年学是一门学科.

背景情况:

  • 早期识别阿尔茨海默氏症和相关痴呆症 (ADRD) 对于有效的患者管理至关重要.
  • 传统的方法,如手动查看图表,耗时,对于大型研究研究来说是不可扩展的.
  • 基于ICD-10代码的慢性疾病数据仓库 (CCW) e-phenotype是一种常见的,但潜在的有限的方法.

研究的目的:

  • 用非结构化临床笔记评估ADRD电子表型的新方法.
  • 为了比较基于ICD代码的模型与使用临床笔记的模型的性能.
  • 在ADRDe-phenotyping模型中调查性别之间的绩效差异.

主要方法:

  • 分析了1576名患有或没有ADRD的患者的非结构化临床笔记.
  • 开发各种e-phenotyping模型,CCW作为参考标准.
  • 根据200名患者的手册图表审查获得的黄金标准的验证,使用近似随机化进行统计比较.

主要成果:

  • 虽然ICD-10代码方法 (F1=0.83) 的总体F1分数比随机森林 (RF) 模型 (F1=0.81) 的总体F1分数更高,但这种差异在统计学上并不显著.
  • 国际疾病控制中心的方法表现出显著的基于性别的偏见,而RF模型则没有.
  • 所有模型都在女性患者的笔记上显示出数量上更高的F1分数,而不管均衡的研究体.

结论:

  • 没有一个单一的e-phenotyping模型在所有性能指标 (AUC,准确性,特异性,精度,回忆/敏感性) 中始终超过其他模型.
  • 选择e-phenotyping模型应与特定的研究需求保持一致,优先考虑回忆或特异性等指标.
  • 人口分类,特别是按性别分类,对于全面了解模型性能和ADRD电子表型中的潜在偏差至关重要.