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Predicting nursing workload in digestive wards based on machine learning: A prospective study

2024-06-26

Abstract excerpt

<title>Abstract</title> <p>Background The assessment and allocation of nursing manpower, as well as performance evaluation, heavily rely on nursing workload, which is also strongly associated with patient safety outcomes. Nevertheless, the majority of previous studies have utilized cross-sectional data collection methods, thereby impeding the precision of workload prediction. Static workload models fail to incor...

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Literature Corpus work
decb69f7-a39d-5749-b29c-cf3faf1ff6c2
DOI
10.21203/rs.3.rs-4503436/v1
Open publication

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Predicting nursing workload in digestive wards based on machine learning: A prospective studyDOI 10.21203/rs.3.rs-4503436/v1
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