A Preliminary Study of Extracting Pulmonary Nodules and Nodule Characteristics from Radiology Reports Using Natural Language Processing.
A Preliminary Study of Extracting Pulmonary Nodules and Nodule Characteristics from Radiology Reports Using Natural Language Processing.
复制标题
对使用自然语言处理从放射学报告中提取肺结核和结节特征的初步研究。
DOI：
10.1109/ichi54592.2022.00125
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发表时间：
2022-06
期刊：
影响因子：
--
通讯作者：
Bian, Jiang
中科院分区：
文献类型：
--
作者：
Yang, Shuang;Yang, Xi;Lyu, Tianchen;He, Xing;Braithwaite, Dejana;Mehta, Hiren J.;Guo, Yi;Wu, Yonghui;Bian, Jiang
This study aims to develop a natural language processing (NLP) tool to extract the pulmonary nodules and nodule characteristics information from free-text clinical narratives. We identified a cohort of 3,080 patients who received low dose computed tomography (LDCT) at the University of Florida health system and collected their clinical narratives including radiology reports in their electronic health records (EHRs). Then, we manually annotated 394 reports as the gold-standard corpus and explored three state-of-the-art transformer-based NLP methods. The best model achieved an F1-score of 0.9279.
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影响因子：
9.8
作者：
Johnson AE;Pollard TJ;Shen L;Lehman LW;Feng M;Ghassemi M;Moody B;Szolovits P;Celi LA;Mark RG
通讯作者：
Mark RG
DOI：
10.1093/jamia/ocaa189
发表时间：
2020-12-01
影响因子：
6.4
作者：
Yang, Xi;Bian, Jiang;Wu, Yonghui
通讯作者：
Wu, Yonghui
影响因子：
2.7
作者：
COHEN, J
通讯作者：
COHEN, J
DOI：
10.1093/jamia/ocz144
发表时间：
2020-01-01
影响因子：
6.4
作者：
Yang, Xi;Bian, Jiang;Wu, Yonghui
通讯作者：
Wu, Yonghui
DOI：
10.1093/jamia/ocz166
发表时间：
2020-01-01
影响因子：
6.4
作者：
Henry, Sam;Buchan, Kevin;Uzuner, Ozlem
通讯作者：
Uzuner, Ozlem