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

Decision Support for Health Professionals (1185) Machine Learning (1465) Physician and Healthcare Worker Burnout (109)

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

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/16528, first published .
An App Developed for Detecting Nurse Burnouts Using the Convolutional Neural Networks in Microsoft Excel: Population-Based Questionnaire Study

An App Developed for Detecting Nurse Burnouts Using the Convolutional Neural Networks in Microsoft Excel: Population-Based Questionnaire Study

An App Developed for Detecting Nurse Burnouts Using the Convolutional Neural Networks in Microsoft Excel: Population-Based Questionnaire Study

Authors of this article:

Yi-Lien Lee1, 2 Author Orcid Image ;   Willy Chou3, 4 Author Orcid Image ;   Tsair-Wei Chien5 Author Orcid Image ;   Po-Hsin Chou6, 7 Author Orcid Image ;   Yu-Tsen Yeh8 Author Orcid Image ;   Huan-Fang Lee9 Author Orcid Image
Article Authors Cited by (26) Tweetations (3) Metrics

Journals

  1. Ma S, Chou W, Chien T, Chow J, Yeh Y, Chou P, Lee H. An App for Detecting Bullying of Nurses Using Convolutional Neural Networks and Web-Based Computerized Adaptive Testing: Development and Usability Study. JMIR mHealth and uHealth 2020;8(5):e16747 View
  2. 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
  3. Grządzielewska M. Using Machine Learning in Burnout Prediction: A Survey. Child and Adolescent Social Work Journal 2021;38(2):175 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. 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
  6. 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
  7. 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
  8. 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
  9. Baniadamdizaj S, Baniadamdizaj S. Prediction of Iranian EFL teachers' burnout level using machine learning algorithms and maslach burnout inventory. Iran Journal of Computer Science 2023;6(1):1 View
  10. 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
  11. 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
  12. 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
  13. 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
  14. 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
  15. O'Connor S, Booth R. Algorithmic bias in health care: Opportunities for nurses to improve equality in the age of artificial intelligence. Nursing Outlook 2022;70(6):780 View
  16. 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
  17. 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
  18. 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
  19. 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
  20. Chen M, Huang S, Chou W. Using Rasch Wright map to identify hospital employee satisfaction during and before COVID-19. Medicine 2023;102(51):e36490 View
  21. Pillai M, Liu C, Kwong E, Kratzke I, Charguia N, Mazur L, Adapa K. Using an explainable machine learning approach to prioritize factors contributing to healthcare professionals’ burnout. Journal of Intelligent Information Systems 2024;62(4):1113 View
  22. Guo Y, Wang S, Plummer V, Du Y, Song T, Wang N, Grande R. Effects of Job Crafting and Leisure Crafting on Nurses’ Burnout: A Machine Learning‐Based Prediction Analysis. Journal of Nursing Management 2024;2024(1) View
  23. Feher G, Kapus K, Tibold A, Banko Z, Berke G, Gacs B, Varadi I, Nyulas R, Matuz A. Mental issues, internet addiction and quality of life predict burnout among Hungarian teachers: a machine learning analysis. BMC Public Health 2024;24(1) View

Books/Policy Documents

  1. Pillai M, Adapa K, Foster M, Kratzke I, Charguia N, Mazur L. Foundations of Intelligent Systems. View
  2. Leba M, Ionica A, Nassar Y, Riurean S. Comprehensible Science. View