An App for Classifying Personal Mental Illness at Workplace Using Fit Statistics and Convolutional Neural Networks: Survey-Based Quantitative Study
BackgroundMental illness (MI) is common among those who work in health care settings. Whether MI is related to employees' mental status at work is yet to be determined. An MI app is developed and proposed to help employees assess their mental status in the hope of detecting MI at an earlier sta...
Saved in:
Main Authors: | Yan, Yu-Hua (Author), Chien, Tsair-Wei (Author), Yeh, Yu-Tsen (Author), Chou, Willy (Author), Hsing, Shu-Chen (Author) |
---|---|
Format: | Book |
Published: |
JMIR Publications,
2020-07-01T00:00:00Z.
|
Subjects: | |
Online Access: | Connect to this object online. |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
An App for Detecting Bullying of Nurses Using Convolutional Neural Networks and Web-Based Computerized Adaptive Testing: Development and Usability Study
by: Ma, Shu-Ching, et al.
Published: (2020) -
Classifying Routine Clinical Electroencephalograms With Multivariate Iterative Filtering and Convolutional Neural Networks
by: Vardhan Paliwal, et al.
Published: (2024) -
The Most-Cited Authors Who Published Papers in JMIR mHealth and uHealth Using the Authorship-Weighted Scheme: Bibliometric Analysis
by: Kan, Wei-Chih, et al.
Published: (2020) -
A Neural Network Classifier Model for Forecasting Safety Behavior at Workplaces
by: Fakhradin Ghasemi, et al.
Published: (2017) -
A Neural Network Classifier Model for Forecasting Safety Behavior at Workplaces
by: Fakhradin Ghasemi, et al.
Published: (2017)