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

Research Instruments, Questionnaires, and Tools (541) Mobile Health (mhealth) (2765) Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (788) mHealth for Data Collection and Research (914) mHealth for Wellness, Behavior Change and Prevention (2743)

Published on in Vol 18, No 1 (2016): January

Estimating Skin Cancer Risk: Evaluating Mobile Computer-Adaptive Testing

Estimating Skin Cancer Risk: Evaluating Mobile Computer-Adaptive Testing

Estimating Skin Cancer Risk: Evaluating Mobile Computer-Adaptive Testing

Authors of this article:

Ngadiman Djaja1, 2, 3 Author Orcid Image ;   Monika Janda1, 3 Author Orcid Image ;   Catherine M Olsen4 Author Orcid Image ;   David C Whiteman1, 3, 4 Author Orcid Image ;   Tsair-Wei Chien5, 6 Author Orcid Image
Article Authors Cited by (8) Tweetations (6) Metrics

Journals

  1. Ma S, Wang H, Chien T. A new technique to measure online bullying: online computerized adaptive testing. Annals of General Psychiatry 2017;16(1) View
  2. Tosi L, Floor M, Dollar C, Gillies A, Hart T, Cuthbertson D, Sutton V, Krischer J. Assessing disease experience across the life span for individuals with osteogenesis imperfecta: challenges and opportunities for patient-reported outcomes (PROs) measurement: a pilot study. Orphanet Journal of Rare Diseases 2019;14(1) View
  3. Lee Y, Lin K, Chien T. Application of a multidimensional computerized adaptive test for a Clinical Dementia Rating Scale through computer-aided techniques. Annals of General Psychiatry 2019;18(1) View
  4. Hsu C, Chien T, Chow J, Yeh Y, Chou W. An App for Identifying Children at Risk for Developmental Problems Using Multidimensional Computerized Adaptive Testing: Development and Usability Study. JMIR Pediatrics and Parenting 2020;3(1):e14632 View
  5. Ana F, Loreto M, José L, Pablo S, María Pilar M, Myriam S. Mobile applications in oncology: A systematic review of health science databases. International Journal of Medical Informatics 2020;133:104001 View
  6. Chien T, Shao Y, Kuo S. Development of a Microsoft Excel tool for one-parameter Rasch model of continuous items: an application to a safety attitude survey. BMC Medical Research Methodology 2017;17(1) View
  7. 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
  8. 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