Web-Based Skin Cancer Assessment and Classification Using Machine Learning and Mobile Computerized Adaptive Testing in a Rasch Model: Development Study.

Ting-Ya Yang Tsair-Wei Chien Feng-Jie Lai

Published in: JMIR medical informatics (2022)

The 30-item SC prediction model, combined with the Rasch web-based CAT, is recommended for classifying SC in patients. An app we developed to help patients self-assess SC risk at an early stage is required for application in the future.

Keyphrases

end stage renal disease
early stage
newly diagnosed
ejection fraction
chronic kidney disease
peritoneal dialysis
prognostic factors
squamous cell carcinoma
skin cancer
patient reported outcomes
radiation therapy
deep learning
neoadjuvant chemotherapy
clinical decision support
clinical evaluation