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Japan journal of nursing science : JJNS

Showing 1 to 4 of 4 articles

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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Socially assistive robots in health and social care: Acceptance and cultural factors. Results from an exploratory international online survey.

Japan journal of nursing science : JJNS Feb 2, 2023
AIM: This study explored the views of an international sample of registered nurses and midwives working in health and social care concerning socially assistive robots (SARs), and the relationship between dimensions of culture and rejection of the ide...
Humans Social Support Surveys and Questionnaires Robotics
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Deep learning-based classification of rectal fecal retention and analysis of fecal properties using ultrasound images in older adult patients.

Japan journal of nursing science : JJNS May 11, 2020
AIM: The present study aimed to analyze the use of machine learning in ultrasound (US)-based fecal retention assessment.
Humans Aged Deep Learning Feces Rectum Constipation
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Using voice recognition and machine learning techniques for detecting patient-reported outcomes from conversational voice in palliative care patients.

Japan journal of nursing science : JJNS Jan 1, 2025
AIM: Patient-reported outcome measures (PROMs) are increasingly used in palliative care to evaluate patients' symptoms and conditions. Healthcare providers often collect PROMs through conversations. However, the manual entry of these data into electr...
Humans Machine Learning Female Aged Aged, 80 and over Male Middle Aged Patient Reported Outcome Measures Palliative Care Speech Recognition Software
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