These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
152 related articles for article (PubMed ID: 29888070)
1. NegBio: a high-performance tool for negation and uncertainty detection in radiology reports. Peng Y; Wang X; Lu L; Bagheri M; Summers R; Lu Z AMIA Jt Summits Transl Sci Proc; 2018; 2017():188-196. PubMed ID: 29888070 [TBL] [Abstract][Full Text] [Related]
2. Deep Learning Approach for Negation and Speculation Detection for Automated Important Finding Flagging and Extraction in Radiology Report: Internal Validation and Technique Comparison Study. Weng KH; Liu CF; Chen CJ JMIR Med Inform; 2023 Apr; 11():e46348. PubMed ID: 37097731 [TBL] [Abstract][Full Text] [Related]
3. A Large Language Model to Detect Negated Expressions in Radiology Reports. Su Y; Babore YB; Kahn CE J Imaging Inform Med; 2024 Sep; ():. PubMed ID: 39322813 [TBL] [Abstract][Full Text] [Related]
4. Negation and uncertainty detection in clinical texts written in Spanish: a deep learning-based approach. Solarte Pabón O; Montenegro O; Torrente M; Rodríguez González A; Provencio M; Menasalvas E PeerJ Comput Sci; 2022; 8():e913. PubMed ID: 35494817 [TBL] [Abstract][Full Text] [Related]
5. Biomedical negation scope detection with conditional random fields. Agarwal S; Yu H J Am Med Inform Assoc; 2010; 17(6):696-701. PubMed ID: 20962133 [TBL] [Abstract][Full Text] [Related]
6. Negation Scope Detection in Clinical Notes and Scientific Abstracts: A Feature-enriched LSTM-based Approach. Sergeeva E; Zhu H; Prinsen P; Tahmasebi A AMIA Jt Summits Transl Sci Proc; 2019; 2019():212-221. PubMed ID: 31258973 [TBL] [Abstract][Full Text] [Related]
7. Using Natural Language Processing of Free-Text Radiology Reports to Identify Type 1 Modic Endplate Changes. Huhdanpaa HT; Tan WK; Rundell SD; Suri P; Chokshi FH; Comstock BA; Heagerty PJ; James KT; Avins AL; Nedeljkovic SS; Nerenz DR; Kallmes DF; Luetmer PH; Sherman KJ; Organ NL; Griffith B; Langlotz CP; Carrell D; Hassanpour S; Jarvik JG J Digit Imaging; 2018 Feb; 31(1):84-90. PubMed ID: 28808792 [TBL] [Abstract][Full Text] [Related]
8. Detecting negation and scope in Chinese clinical notes using character and word embedding. Kang T; Zhang S; Xu N; Wen D; Zhang X; Lei J Comput Methods Programs Biomed; 2017 Mar; 140():53-59. PubMed ID: 28254090 [TBL] [Abstract][Full Text] [Related]
9. Natural language processing of radiology reports for identification of skeletal site-specific fractures. Wang Y; Mehrabi S; Sohn S; Atkinson EJ; Amin S; Liu H BMC Med Inform Decis Mak; 2019 Apr; 19(Suppl 3):73. PubMed ID: 30943952 [TBL] [Abstract][Full Text] [Related]
10. Evaluation of negation and uncertainty detection and its impact on precision and recall in search. Wu AS; Do BH; Kim J; Rubin DL J Digit Imaging; 2011 Apr; 24(2):234-42. PubMed ID: 19902298 [TBL] [Abstract][Full Text] [Related]
11. Negation detection in Swedish clinical text: An adaption of NegEx to Swedish. Skeppstedt M J Biomed Semantics; 2011; 2 Suppl 3(Suppl 3):S3. PubMed ID: 21992616 [TBL] [Abstract][Full Text] [Related]
12. ContextD: an algorithm to identify contextual properties of medical terms in a Dutch clinical corpus. Afzal Z; Pons E; Kang N; Sturkenboom MC; Schuemie MJ; Kors JA BMC Bioinformatics; 2014 Nov; 15(1):373. PubMed ID: 25432799 [TBL] [Abstract][Full Text] [Related]
13. A novel hybrid approach to automated negation detection in clinical radiology reports. Huang Y; Lowe HJ J Am Med Inform Assoc; 2007; 14(3):304-11. PubMed ID: 17329723 [TBL] [Abstract][Full Text] [Related]
14. Implementation and evaluation of a negation tagger in a pipeline-based system for information extract from pathology reports. Mitchell KJ; Becich MJ; Berman JJ; Chapman WW; Gilbertson J; Gupta D; Harrison J; Legowski E; Crowley RS Stud Health Technol Inform; 2004; 107(Pt 1):663-7. PubMed ID: 15360896 [TBL] [Abstract][Full Text] [Related]
15. Radiology Text Analysis System (RadText): Architecture and Evaluation. Wang S; Lin M; Ding Y; Shih G; Lu Z; Peng Y Proc (IEEE Int Conf Healthc Inform); 2022 Jun; 2022():288-296. PubMed ID: 36128510 [TBL] [Abstract][Full Text] [Related]
16. Machine learning and rule-based approaches to assertion classification. Uzuner O; Zhang X; Sibanda T J Am Med Inform Assoc; 2009; 16(1):109-15. PubMed ID: 18952931 [TBL] [Abstract][Full Text] [Related]
17. Ad Hoc Information Extraction for Clinical Data Warehouses. Dietrich G; Krebs J; Fette G; Ertl M; Kaspar M; Störk S; Puppe F Methods Inf Med; 2018 May; 57(1):e22-e29. PubMed ID: 29801178 [TBL] [Abstract][Full Text] [Related]
18. An Approach for Automatic Classification of Radiology Reports in Spanish. Cotik V; Filippo D; Castaño J Stud Health Technol Inform; 2015; 216():634-8. PubMed ID: 26262128 [TBL] [Abstract][Full Text] [Related]
19. Natural Language Processing for the Identification of Silent Brain Infarcts From Neuroimaging Reports. Fu S; Leung LY; Wang Y; Raulli AO; Kallmes DF; Kinsman KA; Nelson KB; Clark MS; Luetmer PH; Kingsbury PR; Kent DM; Liu H JMIR Med Inform; 2019 Apr; 7(2):e12109. PubMed ID: 31066686 [TBL] [Abstract][Full Text] [Related]
20. Evaluation of Automated Public De-Identification Tools on a Corpus of Radiology Reports. Steinkamp JM; Pomeranz T; Adleberg J; Kahn CE; Cook TS Radiol Artif Intell; 2020 Nov; 2(6):e190137. PubMed ID: 33937843 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]