Prediction models for the impact of the COVID-19 pandemic on research activities of Japanese nursing researchers using deep learning.

Journal: Japan journal of nursing science : JJNS

Published Date: Feb 9, 2023

Abstract

AIM: This study aimed to construct and evaluate prediction models using deep learning to explore the impact of attributes and lifestyle factors on research activities of nursing researchers during the COVID-19 pandemic.

Authors

Kumsun Lee

Faculty of Nursing, Kansai Medical University, Hirakata, Japan.
Fusako Takahashi

Faculty of Nursing, Kansai Medical University, Hirakata, Japan.
Yuki Kawasaki

Faculty of Nursing, Kansai Medical University, Hirakata, Japan.
Naoki Yoshinaga

COVID-19 Nursing Research Countermeasures Committee, Japan Academy of Nursing Science, Tokyo, Japan.
Hiroko Sakai

Faculty of Nursing, Kansai Medical University, Hirakata, Japan.

Keywords

Artificial Intelligence COVID-19 Cross-Sectional Studies Deep Learning East Asian People Humans Nursing Research Pandemics Research Design Work-Life Balance Workload

External Resources

View on PubMed Access via DOI PubMed (36758540)

Prediction models for the impact of the COVID-19 pandemic on research activities of Japanese nursing researchers using deep learning.

Abstract

Authors

Keywords

External Resources

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