从病理报告中自动提取自由文本。
Automated extraction of free-text from pathology reports.
作者信息
Currie Anne-Marie, Fricke Travis, Gawne Agnes, Johnston Ric, Liu John, Stein Barbara
机构信息
FineTooth, Austin, TX, USA.
出版信息
AMIA Annu Symp Proc. 2006;2006:899.
Abstract
Manually populating a cancer registry from free-text pathology reports is labor intensive and costly. This poster describes a method of automated text extraction to improve the efficiency of this process and reduce cost. FineTooth, a software company, provides an automated service to the Fred Hutchinson Cancer Research Center (FHCRC) to help populate their breast and prostate cancer clinical research database by electronically abstracting over 80 data fields from pathology text reports.
摘要
从自由文本病理报告中手动填充癌症登记册既耗费人力又成本高昂。本海报介绍了一种自动文本提取方法，以提高这一过程的效率并降低成本。软件公司FineTooth向弗雷德·哈钦森癌症研究中心（FHCRC）提供自动化服务，通过从病理文本报告中电子提取80多个数据字段，帮助填充其乳腺癌和前列腺癌临床研究数据库。
相似文献
1
Automated extraction of free-text from pathology reports.从病理报告中自动提取自由文本。
AMIA Annu Symp Proc. 2006;2006:899.
2
Facilitating cancer research using natural language processing of pathology reports.利用病理报告的自然语言处理促进癌症研究。
Stud Health Technol Inform. 2004;107(Pt 1):565-72.
3
Automating tissue bank annotation from pathology reports - comparison to a gold standard expert annotation set.通过病理报告实现组织库注释自动化——与黄金标准专家注释集的比较。
AMIA Annu Symp Proc. 2005;2005:460-4.
4
Developing and evaluating a simple, spreadsheet-based pathology report extraction system for cancer registrars.为癌症登记员开发并评估一个基于电子表格的简单病理报告提取系统。
AMIA Annu Symp Proc. 2006;2006:1008.
5
Extracting data from electronic medical records: validation of a natural language processing program to assess prostate biopsy results.从电子病历中提取数据：评估前列腺活检结果的自然语言处理程序的验证
World J Urol. 2014 Feb;32(1):99-103. doi: 10.1007/s00345-013-1040-4. Epub 2013 Feb 17.
6
Obtaining Knowledge in Pathology Reports Through a Natural Language Processing Approach With Classification, Named-Entity Recognition, and Relation-Extraction Heuristics.通过采用分类、命名实体识别和关系提取启发式方法的自然语言处理途径从病理报告中获取知识。
JCO Clin Cancer Inform. 2019 Aug;3:1-8. doi: 10.1200/CCI.19.00008.
7
Machine learning classification of surgical pathology reports and chunk recognition for information extraction noise reduction.用于信息提取降噪的手术病理报告的机器学习分类及语块识别
Artif Intell Med. 2016 Jun;70:77-83. doi: 10.1016/j.artmed.2016.06.001. Epub 2016 Jun 8.
8
A natural language processing program effectively extracts key pathologic findings from radical prostatectomy reports.一个自然语言处理程序能有效地从根治性前列腺切除术报告中提取关键病理结果。
J Endourol. 2014 Dec;28(12):1474-8. doi: 10.1089/end.2014.0221.
9
Identifying primary and recurrent cancers using a SAS-based natural language processing algorithm.使用基于 SAS 的自然语言处理算法识别原发性和复发性癌症。
J Am Med Inform Assoc. 2013 Mar-Apr;20(2):349-55. doi: 10.1136/amiajnl-2012-000928. Epub 2012 Jul 21.
10
Rule-Based Information Extraction from Free-Text Pathology Reports Reveals Trends in South African Female Breast Cancer Molecular Subtypes and Ki67 Expression.基于规则的自由文本病理学报告信息提取揭示了南非女性乳腺癌分子亚型和 Ki67 表达的趋势。
Biomed Res Int. 2022 Jan 20;2022:6157861. doi: 10.1155/2022/6157861. eCollection 2022.
引用本文的文献
1
The Evolution of Radiology Image Annotation in the Era of Large Language Models.大语言模型时代放射学图像标注的演变
Radiol Artif Intell. 2025 Jul;7(4):e240631. doi: 10.1148/ryai.240631.
2
A natural language processing algorithm accurately classifies steatotic liver disease pathology to estimate the risk of cirrhosis.一种自然语言处理算法可以准确地对脂肪性肝病的病理学进行分类，以估计肝硬化的风险。
Hepatol Commun. 2024 Mar 29;8(4). doi: 10.1097/HC9.0000000000000403. eCollection 2024 Apr 1.
3
Automated medical chart review for breast cancer outcomes research: a novel natural language processing extraction system.自动化医疗图表审查在乳腺癌结局研究中的应用：一种新颖的自然语言处理提取系统。
BMC Med Res Methodol. 2022 May 12;22(1):136. doi: 10.1186/s12874-022-01583-z.
4
Searching Full-Text Anatomic Pathology Reports Using Business Intelligence Software.使用商业智能软件搜索全文解剖病理学报告
J Pathol Inform. 2022 Feb 7;13:100014. doi: 10.1016/j.jpi.2022.100014. eCollection 2022.
5
Web Application for the Automated Extraction of Diagnosis and Site From Pathology Reports for Keratinocyte Cancers.用于从角化细胞癌病理报告中自动提取诊断和部位信息的 Web 应用程序。
JCO Clin Cancer Inform. 2020 Aug;4:711-723. doi: 10.1200/CCI.19.00152.
6
Generating high-quality data abstractions from scanned clinical records: text-mining-assisted extraction of endometrial carcinoma pathology features as proof of principle.从扫描的临床记录中生成高质量的数据摘要：文本挖掘辅助提取子宫内膜癌病理特征作为原理验证。
BMJ Open. 2020 Jun 11;10(6):e037740. doi: 10.1136/bmjopen-2020-037740.
7
Machine learning for syndromic surveillance using veterinary necropsy reports.利用兽医剖检报告进行综合征监测的机器学习。
PLoS One. 2020 Feb 5;15(2):e0228105. doi: 10.1371/journal.pone.0228105. eCollection 2020.
8
Automatic extraction of cancer registry reportable information from free-text pathology reports using multitask convolutional neural networks.使用多任务卷积神经网络从自由文本病理报告中自动提取癌症登记报告信息。
J Am Med Inform Assoc. 2020 Jan 1;27(1):89-98. doi: 10.1093/jamia/ocz153.
9
Assessing the Utility of Automatic Cancer Registry Notifications Data Extraction from Free-Text Pathology Reports.评估从自由文本病理报告中自动提取癌症登记通知数据的效用。
AMIA Annu Symp Proc. 2015 Nov 5;2015:953-62. eCollection 2015.
10
Close or positive resection margins are not associated with an increased risk of chest wall recurrence in women with DCIS treated by mastectomy: a population-based analysis.在接受乳房切除术治疗的导管原位癌女性中，切缘接近或阳性与胸壁复发风险增加无关：一项基于人群的分析。
Springerplus. 2015 Jul 10;4:335. doi: 10.1186/s40064-015-1032-5. eCollection 2015.
本文引用的文献
1
Facilitating cancer research using natural language processing of pathology reports.利用病理报告的自然语言处理促进癌症研究。
Stud Health Technol Inform. 2004;107(Pt 1):565-72.
Zotero 插件