AIMC Topic: Work-Life Balance

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

Japan journal of nursing science : JJNS Feb 9, 2023
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.
Humans Artificial Intelligence Pandemics COVID-19 Research Design Cross-Sectional Studies Deep Learning East Asian People Workload Nursing Research Work-Life Balance
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Prediction of well-being and insight into work-life integration among physicians using machine learning approach.

PloS one Jul 15, 2021
There has been increasing interest in examining physician well-being and its predictive factors. However, few studies have revealed the characteristics associated with physician well-being and work-life integration using a machine learning approach. ...
Humans Machine Learning Physicians Female Adult Male Middle Aged Surveys and Questionnaires Job Satisfaction Japan Work-Life Balance
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Innovative machine learning approach and evaluation campaign for predicting the subjective feeling of work-life balance among employees.

PloS one May 15, 2020
At present, many researchers see hope that artificial intelligence, machine learning in particular, will improve several aspects of the everyday life for individuals, cities and whole nations alike. For example, it has been speculated that the so-cal...
Humans Neural Networks, Computer Artificial Intelligence Machine Learning Computer Simulation Female Young Adult Adult Male Middle Aged Adolescent Time Factors Emotions Employment Shift Work Schedule Work-Life Balance
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