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To summarize the use of machine learning (ML) for hospital‐acquired pressure injury (HAPI) prediction and to systematically assess the performance and construction process of ML models to provide references for… Click to show full abstract
To summarize the use of machine learning (ML) for hospital‐acquired pressure injury (HAPI) prediction and to systematically assess the performance and construction process of ML models to provide references for establishing high‐quality ML predictive models.
Keywords:
predictive models;
pressure injury;
machine learning;
acquired pressure;
hospital acquired
Journal Title: Nursing Open
Year Published: 2022
Link to full text (if available)
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Journal Title: Nursing Open
Year Published: 2022
Link to full text (if available)
Share on Social Media: Sign Up to like & get
recommendations!