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Related Concept Videos

Primary Healthcare Services01:30

Primary Healthcare Services

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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.
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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

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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...
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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.
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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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Related Experiment Video

Updated: Jan 8, 2026

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

Gavin Thomas1, Nils D Forkert1, Eric E Smith1

  • 1Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada.

Alzheimer'S & Dementia : the Journal of the Alzheimer'S Association
|December 23, 2025
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Summary
This summary is machine-generated.

Machine learning models can improve early detection of mild cognitive impairment (MCI) and dementia using administrative health records. Linking specialist-confirmed diagnoses enhances accuracy for better cognitive disorder surveillance and intervention.

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Area of Science:

  • Gerontology
  • Neurology
  • Health Informatics

Background:

  • Aging populations face rising rates of mild cognitive impairment (MCI) and dementia.
  • Administrative health records (AHRs) lack expert diagnostic data for identifying cognitive decline.
  • The Prospective Registry for Persons with Memory Symptoms (PROMPT) offers specialist-confirmed diagnoses for validation.

Purpose of the Study:

  • To validate machine learning (ML) models for detecting MCI and dementia using AHRs.
  • To link PROMPT registry data with population-level AHRs for enhanced classification.
  • To address gaps in early detection and staging of cognitive decline.

Main Methods:

  • Analysis of 1,901 adults referred to a memory clinic, linked to provincial AHRs.
  • Classification of cognitive status: no objective impairment (NOI), MCI, or dementia.
  • Development and comparison of ML algorithms (logistic regression, random forests, ensemble methods) against rule-based approaches.

Main Results:

  • Participant demographics: mean age 73, 52% male; diagnoses: 34% dementia, 44% MCI, 12% NOI, 10% uncertain.
  • Cognitive assessment scores (MMSE, MoCA) showed expected patterns across diagnostic groups.
  • Complete performance metrics (sensitivity, specificity, AUC) are pending finalization.

Conclusions:

  • Specialist-confirmed data from PROMPT can significantly enhance ML classification of MCI and dementia in AHRs.
  • Findings may improve cognitive disorder surveillance, resource allocation, and early intervention strategies.
  • This integration of analytics and clinical data could shape future dementia care approaches.