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

Ting-Ya Yang   1 * , MD ;   Tsair-Wei Chien   2 * , MBA ;   Feng-Jie Lai   3 * , MD, PhD

1 Department of Family Medicine, Chi Mei Medical Center, Tainan, Taiwan

2 Department of Medical Research, Chi-Mei Medical Center, Tainan, Taiwan

3 Department of Dermatology, Chi-Mei Medical Center, Tainan, Taiwan

*all authors contributed equally

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