Natural language processing to automatically extract the presence and
severity of esophagitis in notes of patients undergoing radiotherapy

Natural language processing to automatically extract the presence and severity of esophagitis in notes of patients undergoing radiotherapy

24 March 2023

Shan Chen

Hugo J. W. L. Aerts

Timothy A. Miller

Danielle S. Bitterman

ArXiv (abs)PDF HTML

Papers citing "Natural language processing to automatically extract the presence and severity of esophagitis in notes of patients undergoing radiotherapy"

5 / 5 papers shown

Title
LinkBERT: Pretraining Language Models with Document Links Michihiro Yasunaga J. Leskovec Percy Liang KELM 106 361 0 29 Mar 2022
Launching into clinical space with medspaCy: a new clinical text processing toolkit in Python Hannah Eyre Alec B. Chapman Kelly S. Peterson Jianlin Shi Patrick R. Alba Makoto M. Jones T. Box S. Duvall Performance Integration 44 80 0 14 Jun 2021
Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing Yu Gu Robert Tinn Hao Cheng Michael R. Lucas Naoto Usuyama Xiaodong Liu Tristan Naumann Jianfeng Gao Hoifung Poon LM&MA AI4CE 114 1,782 0 31 Jul 2020
Publicly Available Clinical BERT Embeddings Emily Alsentzer John R. Murphy Willie Boag W. Weng Di Jin Tristan Naumann Matthew B. A. McDermott AI4MH 176 1,983 0 06 Apr 2019
BioBERT: a pre-trained biomedical language representation model for biomedical text mining Jinhyuk Lee Wonjin Yoon Sungdong Kim Donghyeon Kim Sunkyu Kim Chan Ho So Jaewoo Kang OOD 180 5,672 0 25 Jan 2019

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