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

Nini Rao1, Boyang Yu1

  • 1University of Electronic Science and Technology of China, CHengdu, Sichuan, China.

Alzheimer's & dementia : the journal of the Alzheimer's Association
|December 23, 2025
PubMed
Resumen
Este resumen es generado por máquina.

Este estudio desarrolló un modelo de aprendizaje profundo que integra datos de RM y clínicos para el diagnóstico preciso de la enfermedad de Alzheimer (EA) y el deterioro cognitivo leve (DCL). El modelo logró una alta precisión, lo que ayuda a las estrategias de detección y tratamiento tempranos.

Conclusiones:

  • El modelo de aprendizaje profundo identifica eficazmente las características clave de la enfermedad de Alzheimer, lo que apoya el diagnóstico temprano y el tratamiento de precisión.
  • Proporciona información valiosa sobre la patogénesis de la EA y el DCL, lo que ayuda a la gestión clínica y la comprensión.
Palabras clave:
Enfermedad de AlzheimerDeterioro cognitivo leveAprendizaje profundoNeuroimagenResonancia magnéticaDiagnósticoSalud pública

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