Deep-Learning-Based Natural Language Processing of Serial Free-Text Radiological Reports for Predicting Rectal Cancer Patient Survival

Most electronic medical records, such as free-text radiological reports, are unstructured; however, the methodological approaches to analyzing these accumulating unstructured records are limited. This article proposes a deep-transfer-learning-based natural language processing model that analyzes ser...

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Autores principales: Sunkyu Kim, Choong-kun Lee, Yonghwa Choi, Eun Sil Baek, Jeong Eun Choi, Joon Seok Lim, Jaewoo Kang, Sang Joon Shin
Formato: article
Lenguaje:EN
Publicado: Frontiers Media S.A. 2021
Materias:
MRI
Acceso en línea:https://doaj.org/article/580e429283964cb4bcd085c2ffc223f1
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