Forecasting Health and Wellbeing for Shift Workers Using Job-Role Based Deep Neural Network-Reference-Cited by-同舟云学术

Forecasting Health and Wellbeing for Shift Workers Using Job-Role Based Deep Neural Network

Published:2021 Issue: Volume: Page:89-103
ISSN:1867-8211
Container-title:Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
language:
Short-container-title:

Author:

Yu Han,Itoh Asami,Sakamoto Ryota,Shimaoka Motomu,Sano Akane

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-70569-5_6

Reference50 articles.

1. Asselbergs, J., Ruwaard, J., Ejdys, M., Schrader, N., Sijbrandij, M., Riper, H.: Mobile phone-based unobtrusive ecological momentary assessment of day-to-day mood: an explorative study. J. Med. Internet Res. 18(3), e72 (2016)

2. Bogomolov, A., Lepri, B., Ferron, M., Pianesi, F., et al.: Daily stress recognition from mobile phone data, weather conditions and individual traits. In: Proceedings of the 22nd ACM International Conference on Multimedia, pp. 477–486 (2014)

3. Books, C., Coody, L.C., Kauffman, R., Abraham, S.: Night shift work and its health effects on nurses. Health Care Manager 36(4), 347–353 (2017)

4. Bourdouxhe, M., Quéinnec, Y., Guertin, S.: The interaction between work schedule and workload: case study of 12-hour shifts in a Canadian refinery. In: Shiftwork International Newsletter, p. 19 (2000)

5. Courtney, J.A., Francis, A.J., Paxton, S.J.: Caring for the carers: fatigue, sleep, and mental health in Australian paramedic shiftworkers. Aust. J. Organisational Psychol. 3, 32–41 (2010)

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Personalized Physician-Assisted Sleep Advice for Shift Workers: Machine Learning Approach (Preprint);2024-08-02

2. Effect of an Internet–Delivered Cognitive Behavioral Therapy–Based Sleep Improvement App for Shift Workers at High Risk of Sleep Disorder: Single-Arm, Nonrandomized Trial (Preprint);2023-01-19

3. Toward the Analysis of Office Workers’ Mental Indicators Based on Wearable, Work Activity, and Weather Data;Sensor- and Video-Based Activity and Behavior Computing;2022