This paper is in the following e-collection/theme issue:

Design and Formative Evaluation of Mobile Apps (695) Human Factors and Usability Case Studies (788) Machine Learning (1465) Bullying and Cyberbullying (37)

Published on in Vol 8, No 5 (2020): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/16747, first published .
An App for Detecting Bullying of Nurses Using Convolutional Neural Networks and Web-Based Computerized Adaptive Testing: Development and Usability Study

An App for Detecting Bullying of Nurses Using Convolutional Neural Networks and Web-Based Computerized Adaptive Testing: Development and Usability Study

An App for Detecting Bullying of Nurses Using Convolutional Neural Networks and Web-Based Computerized Adaptive Testing: Development and Usability Study

Authors of this article:

Shu-Ching Ma1, 2 Author Orcid Image ;   Willy Chou3, 4 Author Orcid Image ;   Tsair-Wei Chien5 Author Orcid Image ;   Julie Chi Chow6, 7 Author Orcid Image ;   Yu-Tsen Yeh8 Author Orcid Image ;   Po-Hsin Chou9, 10 Author Orcid Image ;   Huan-Fang Lee11 Author Orcid Image
Article Authors Cited by (18) Tweetations (2) Metrics

Journals

  1. Yan Y, Chien T, Yeh Y, Chou W, Hsing S. An App for Classifying Personal Mental Illness at Workplace Using Fit Statistics and Convolutional Neural Networks: Survey-Based Quantitative Study. JMIR mHealth and uHealth 2020;8(7):e17857 View
  2. Chou P, Chien T, Yang T, Yeh Y, Chou W, Yeh C. Predicting Active NBA Players Most Likely to Be Inducted into the Basketball Hall of Famers Using Artificial Neural Networks in Microsoft Excel: Development and Usability Study. International Journal of Environmental Research and Public Health 2021;18(8):4256 View
  3. Lee K, Chien T, Yeh Y, Chou W, Wang H. An online time-to-event dashboard comparing the effective control of COVID-19 among continents using the inflection point on an ogive curve. Medicine 2021;100(10):e24749 View
  4. Wang L, Chien T, Chou W. Using the IPcase Index with Inflection Points and the Corresponding Case Numbers to Identify the Impact Hit by COVID-19 in China: An Observation Study. International Journal of Environmental Research and Public Health 2021;18(4):1994 View
  5. Tey S, Liu C, Chien T, Hsu C, Chan K, Chen C, Cheng T, Wu W. Predicting the 14-Day Hospital Readmission of Patients with Pneumonia Using Artificial Neural Networks (ANN). International Journal of Environmental Research and Public Health 2021;18(10):5110 View
  6. Lin J, Chien T, Wang L, Chou W. An artificial neural network model to predict the mortality of COVID-19 patients using routine blood samples at the time of hospital admission. Medicine 2021;100(28):e26532 View
  7. Lee Y, Chow J, Chien T, Chou W. Using chord diagrams to explore article themes in 100 top-cited articles citing Hirsch’s h-index since 2005: A bibliometric analysis. Medicine 2023;102(8):e33057 View
  8. Yang T, Chien T, Lai F. Web-Based Skin Cancer Assessment and Classification Using Machine Learning and Mobile Computerized Adaptive Testing in a Rasch Model: Development Study. JMIR Medical Informatics 2022;10(3):e33006 View
  9. Chen H, Chien T, Chen L, Yeh Y, Ma S, Lee H. An app for predicting nurse intention to quit the job using artificial neural networks (ANNs) in Microsoft Excel. Medicine 2022;101(11) View
  10. Lin C, Chien T, Chen Y, Lee Y, Su S. An app to classify a 5-year survival in patients with breast cancer using the convolutional neural networks (CNN) in Microsoft Excel. Medicine 2022;101(4):e28697 View
  11. Ho S, Chien T, Shao Y, Hsieh J. Visualizing the features of inflection point shown on a temporal bar graph using the data of COVID-19 pandemic. Medicine 2022;101(5):e28749 View
  12. Hsu C, Chien T, Yan Y. An application for classifying perceptions on my health bank in Taiwan using convolutional neural networks and web-based computerized adaptive testing. Medicine 2021;100(52):e28457 View
  13. Ho S, Chien T, Lin M, Tsai K. An app for predicting patient dementia classes using convolutional neural networks (CNN) and artificial neural networks (ANN): Comparison of prediction accuracy in Microsoft Excel. Medicine 2023;102(4):e32670 View
  14. Ozdemir B, Gelbal S. Measuring language ability of students with compensatory multidimensional CAT: A post-hoc simulation study. Education and Information Technologies 2022;27(5):6273 View
  15. Chuang H, Chien T, Chou W, Wang C, Tsai K. Comparison of prediction accuracies between two mathematical models for the assessment of COVID-19 damage at the early stage and throughout 2020. Medicine 2022;101(32):e29718 View
  16. Hu T, Chow J, Chien T, Chou W. Detecting dengue fever in children using online Rasch analysis to develop algorithms for parents: An APP development and usability study. Medicine 2023;102(13):e33296 View
  17. Tsai S, Chou F. Developing and testing a prototype smartphone educational application to address incivility and bullying in nursing workplaces. Nurse Education Today 2023;130:105925 View
  18. Hsieh J, Chow J. Development of mobile CAT for patient feedback on pediatric consultations based on Rasch analysis of online techniques. Medicine 2024;103(18):e37993 View