AIMC Topic: Public Health Nursing

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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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Machine Learning Methods for Identifying Critical Data Elements in Nursing Documentation.

Nursing research Jan 1, 2019
BACKGROUND: Public health nurses (PHNs) engage in home visiting services and documentation of care services for at-risk clients. To increase efficiency and decrease documentation burden, it would be useful for PHNs to identify critical data elements ...
Humans Machine Learning Retrospective Studies Electronic Health Records Regression Analysis Documentation Common Data Elements Nurses, Public Health Public Health Nursing
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