An application for classifying perceptions on my health bank in Taiwan using convolutional neural networks and web-based computerized adaptive testing: A development and usability study.
Chen-Fang HsuTsair-Wei ChienYu-Hua YanPublished in: Medicine (2022)
The PMHB26 CNN model, combined with the Rasch online MCAT, is recommended for improving the accuracy and efficiency of classifying patients' perceptions of MHB utility. An application developed for helping respondents self-assess the MHB cocreation of value can be applied to other surveys in the future.
Keyphrases
- convolutional neural network
- healthcare
- health information
- end stage renal disease
- primary care
- ejection fraction
- newly diagnosed
- chronic kidney disease
- public health
- mental health
- prognostic factors
- peritoneal dialysis
- cross sectional
- electronic health record
- patient reported outcomes
- current status
- machine learning
- clinical decision support