Does synthetic data augmentation improve the performances of machine learning classifiers for identifying health problems in patient-nurse verbal communications in home healthcare settings?

Scroggins, J. K., Topaz, M., Song, J., & Zolnoori, M. (2024). Does synthetic data augmentation improve the performances of machine learning classifiers for identifying health problems in patient–nurse verbal communications in home healthcare settings? Journal of Nursing Scholarship. Portico. https://doi.org/10.1111/jnu.13004
Authors:
Jihye Kim Scroggins
Maxim Topaz
Jiyoun Song
Maryam Zolnoori
Affiliated Authors:
Jihye Kim Scroggins
Maxim Topaz
Maryam Zolnoori
Columbia Affiliation:
Author Keywords:
home healthcare
large language model
machine learning
patient–nurse verbal communication
synthetic data augmentation
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Publication Type:
Article
Unique ID:
10.1111/jnu.13004
PMID:
38961517
DOI:
10.1111/jnu.13004
Journal:
Journal of Nursing Scholarship
Publication Date:
Data Source:
PubMed
Source Link:
View PubMed Record

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