AI Medical Compendium Journal:
Public health nursing (Boston, Mass.)

Showing 1 to 4 of 4 articles

Transforming Healthcare in Low-Resource Settings With Artificial Intelligence: Recent Developments and Outcomes.

Public health nursing (Boston, Mass.) Dec 4, 2024
BACKGROUND: Artificial intelligence now encompasses technologies like machine learning, natural language processing, and robotics, allowing machines to undertake complex tasks traditionally done by humans. AI's application in healthcare has led to ad...
Humans Artificial Intelligence Delivery of Health Care Health Resources
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Tapping Into Awareness: Assessing Nursing Students' Water Consumption Behaviors and Sustainability Perceptions Through a Cross-Sectional Study With Machine Learning Approach.

Public health nursing (Boston, Mass.) Oct 27, 2024
INTRODUCTION: Investigating water consumption behaviors and perceptions of water sustainability among nursing students is crucial for effective resource management. This study employs machine learning (ML) techniques to analyze these factors in detai...
Humans Machine Learning Female Adult Cross-Sectional Studies Male Surveys and Questionnaires Students, Nursing Turkey Awareness Perception
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Improving Clinical Preparedness: Community Health Nurses and Early Hypoglycemia Prediction in Type 2 Diabetes Using Hybrid Machine Learning Techniques.

Public health nursing (Boston, Mass.) Oct 22, 2024
OBJECTIVES: The aim of the study was to analyze the data of diabetic patients regarding warning signs of hypoglycemia to predict it at an early stage using various novel machine learning (ML) algorithms. Individual interviews with diabetic patients w...
Humans Machine Learning Algorithms Female Aged Adult Male Middle Aged Diabetes Mellitus, Type 2 Hypoglycemia Nurses, Community Health
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Public health nurse perspectives on predicting nonattendance for cervical cancer screening through classification, ensemble, and deep learning models.

Public health nursing (Boston, Mass.) May 17, 2024
OBJECTIVES: Women's attendance to cervical cancer screening (CCS) is a major concern for healthcare providers in community. This study aims to use the various algorithms that can accurately predict the most barriers of women for nonattendance to CS.
Humans Female Adult Uterine Cervical Neoplasms Middle Aged Deep Learning Mass Screening Early Detection of Cancer No-Show Patients Nurses, Public Health Public Health Nursing
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