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

Machine Learning (1401) Secondary Use of Clinical Data for Research and Surveillance (326) Clinical Information and Decision Making (1340) Artificial Intelligence (1216) Decision Support for Health Professionals (1147) Innovations and Technology for Cancer Prevention and Screening (140)

Published on in Vol 10, No 3 (2022): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/33006, first published .
Web-Based Skin Cancer Assessment and Classification Using Machine Learning and Mobile Computerized Adaptive Testing in a Rasch Model: Development Study

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

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

Authors of this article:

Ting-Ya Yang1 Author Orcid Image ;   Tsair-Wei Chien2 Author Orcid Image ;   Feng-Jie Lai3 Author Orcid Image
Article Authors Cited by (7) Tweetations (4) Metrics

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  3. Kao H, Chien T, Wang W, Chou W, Chow J. Assessing ChatGPT’s capacity for clinical decision support in pediatrics: A comparative study with pediatricians using KIDMAP of Rasch analysis. Medicine 2023;102(25):e34068 View
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  7. Lyakhova U, Lyakhov P. Systematic review of approaches to detection and classification of skin cancer using artificial intelligence: Development and prospects. Computers in Biology and Medicine 2024;178:108742 View