Does synthetic data augmentation improve the performances of machine learning classifiers for identifying health problems in patient–nurse verbal communications in home healthcare settings?
Background: Identifying health problems in audio‐recorded patient–nurse communication is important to improve outcomes in home healthcare patients who have complex conditions with increased risks of hospital utilization. Training machine learning classifiers for identifying problems requires resourc...
| Publicado en: | Journal of Nursing Scholarship Vol. 57; no. 1; pp. 47 - 59 |
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| Autores principales: | , , , |
| Formato: | pictorial research tables/charts Journal Article |
| Publicado: |
Wiley-Blackwell
Jan2025
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| Acceso en línea: | Ver este registro en EBSCOhost |