Follow-up Interactive Long-Term Expert Ranking (FILTER): a crowdsourcing platform to adjudicate risk for survivorship care

OBJECTIVES: To develop an online crowdsourcing platform where oncologists and other survivorship experts can adjudicate risk for complications in follow-up. MATERIALS AND METHODS: This platform, called Follow-up Interactive Long-Term Expert Ranking (FILTER), prompts participants to adjudicate risk b...

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Detalles Bibliográficos
Autores principales: Cheng, Alex C, Wen, Li, Li, Yanwei, Koyama, Tatsuki, Berry, Lynne D, Pal, Tuya, Friedman, Debra L, Osterman, Travis J
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Application Notes
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8571913/
https://www.ncbi.nlm.nih.gov/pubmed/34755049
http://dx.doi.org/10.1093/jamiaopen/ooab090

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8571913/
https://www.ncbi.nlm.nih.gov/pubmed/34755049
http://dx.doi.org/10.1093/jamiaopen/ooab090

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