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

Internet

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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