Artificial Intelligence–Based Prediction of Lung Cancer Risk Using Nonimaging Electronic Medical Records: Deep Learning Approach

BACKGROUND: Artificial intelligence approaches can integrate complex features and can be used to predict a patient’s risk of developing lung cancer, thereby decreasing the need for unnecessary and expensive diagnostic interventions. OBJECTIVE: The aim of this study was to use electronic medical reco...

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Detalles Bibliográficos
Autores principales: Yeh, Marvin Chia-Han, Wang, Yu-Hsiang, Yang, Hsuan-Chia, Bai, Kuan-Jen, Wang, Hsiao-Han, Li, Yu-Chuan Jack
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2021
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8371476/
https://www.ncbi.nlm.nih.gov/pubmed/34342588
http://dx.doi.org/10.2196/26256

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8371476/
https://www.ncbi.nlm.nih.gov/pubmed/34342588
http://dx.doi.org/10.2196/26256

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