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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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Detalles Bibliográficos
Autores principales:	Kim, Sunkyu, Lee, Choong-kun, Choi, Yonghwa, Baek, Eun Sil, Choi, Jeong Eun, Lim, Joon Seok, Kang, Jaewoo, Shin, Sang Joon
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2021
Materias:	Oncology
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8635726/ https://www.ncbi.nlm.nih.gov/pubmed/34868947 http://dx.doi.org/10.3389/fonc.2021.747250

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