224 related articles for article (PubMed ID: 36033768)
1. An efficient modular framework for automatic LIONC classification of MedIMG using unified medical language.
Bhatia S; Alojail M; Sengan S; Dadheech P
Front Public Health; 2022; 10():926229. PubMed ID: 36033768
[TBL] [Abstract][Full Text] [Related]
2. Information extraction from multi-institutional radiology reports.
Hassanpour S; Langlotz CP
Artif Intell Med; 2016 Jan; 66():29-39. PubMed ID: 26481140
[TBL] [Abstract][Full Text] [Related]
3. RysannMD: A biomedical semantic annotator balancing speed and accuracy.
Cuzzola J; Jovanović J; Bagheri E
J Biomed Inform; 2017 Jul; 71():91-109. PubMed ID: 28552401
[TBL] [Abstract][Full Text] [Related]
4. A comparison of word embeddings for the biomedical natural language processing.
Wang Y; Liu S; Afzal N; Rastegar-Mojarad M; Wang L; Shen F; Kingsbury P; Liu H
J Biomed Inform; 2018 Nov; 87():12-20. PubMed ID: 30217670
[TBL] [Abstract][Full Text] [Related]
5. Adapting content-based image retrieval techniques for the semantic annotation of medical images.
Kumar A; Dyer S; Kim J; Li C; Leong PH; Fulham M; Feng D
Comput Med Imaging Graph; 2016 Apr; 49():37-45. PubMed ID: 26890880
[TBL] [Abstract][Full Text] [Related]
6. Information extraction from German radiological reports for general clinical text and language understanding.
Jantscher M; Gunzer F; Kern R; Hassler E; Tschauner S; Reishofer G
Sci Rep; 2023 Feb; 13(1):2353. PubMed ID: 36759679
[TBL] [Abstract][Full Text] [Related]
7. Automatic Disease Annotation From Radiology Reports Using Artificial Intelligence Implemented by a Recurrent Neural Network.
Lee C; Kim Y; Kim YS; Jang J
AJR Am J Roentgenol; 2019 Apr; 212(4):734-740. PubMed ID: 30699011
[TBL] [Abstract][Full Text] [Related]
8. Semantic annotation in biomedicine: the current landscape.
Jovanović J; Bagheri E
J Biomed Semantics; 2017 Sep; 8(1):44. PubMed ID: 28938912
[TBL] [Abstract][Full Text] [Related]
9. Automatic identification of critical follow-up recommendation sentences in radiology reports.
Yetisgen-Yildiz M; Gunn ML; Xia F; Payne TH
AMIA Annu Symp Proc; 2011; 2011():1593-602. PubMed ID: 22195225
[TBL] [Abstract][Full Text] [Related]
10. A novel framework for biomedical entity sense induction.
Lossio-Ventura JA; Bian J; Jonquet C; Roche M; Teisseire M
J Biomed Inform; 2018 Aug; 84():31-41. PubMed ID: 29935347
[TBL] [Abstract][Full Text] [Related]
11. Automatic information extraction from unstructured mammography reports using distributed semantics.
Gupta A; Banerjee I; Rubin DL
J Biomed Inform; 2018 Feb; 78():78-86. PubMed ID: 29329701
[TBL] [Abstract][Full Text] [Related]
12. SpiNet - A FrameNet-like Schema for Automatic Information Extraction about Spine from Scientific Papers.
Ferreira VC; Pinheiro V
AMIA Annu Symp Proc; 2020; 2020():452-461. PubMed ID: 33936418
[TBL] [Abstract][Full Text] [Related]
13. Can Unified Medical Language System-based semantic representation improve automated identification of patient safety incident reports by type and severity?
Wang Y; Coiera E; Magrabi F
J Am Med Inform Assoc; 2020 Oct; 27(10):1502-1509. PubMed ID: 32574362
[TBL] [Abstract][Full Text] [Related]
14. NCBI disease corpus: a resource for disease name recognition and concept normalization.
Doğan RI; Leaman R; Lu Z
J Biomed Inform; 2014 Feb; 47():1-10. PubMed ID: 24393765
[TBL] [Abstract][Full Text] [Related]
15. A multilingual gold-standard corpus for biomedical concept recognition: the Mantra GSC.
Kors JA; Clematide S; Akhondi SA; van Mulligen EM; Rebholz-Schuhmann D
J Am Med Inform Assoc; 2015 Sep; 22(5):948-56. PubMed ID: 25948699
[TBL] [Abstract][Full Text] [Related]
16. Semantic reclassification of the UMLS concepts.
Fan JW; Friedman C
Bioinformatics; 2008 Sep; 24(17):1971-3. PubMed ID: 18625612
[TBL] [Abstract][Full Text] [Related]
17. Automatic segmentation of clinical texts.
Apostolova E; Channin DS; Demner-Fushman D; Furst J; Lytinen S; Raicu D
Annu Int Conf IEEE Eng Med Biol Soc; 2009; 2009():5905-8. PubMed ID: 19965054
[TBL] [Abstract][Full Text] [Related]
18. Task definition, annotated dataset, and supervised natural language processing models for symptom extraction from unstructured clinical notes.
Steinkamp JM; Bala W; Sharma A; Kantrowitz JJ
J Biomed Inform; 2020 Feb; 102():103354. PubMed ID: 31838210
[TBL] [Abstract][Full Text] [Related]
19. Supervised methods to extract clinical events from cardiology reports in Italian.
Viani N; Miller TA; Napolitano C; Priori SG; Savova GK; Bellazzi R; Sacchi L
J Biomed Inform; 2019 Jul; 95():103219. PubMed ID: 31150777
[TBL] [Abstract][Full Text] [Related]
20. Improving broad-coverage medical entity linking with semantic type prediction and large-scale datasets.
Vashishth S; Newman-Griffis D; Joshi R; Dutt R; Rosé CP
J Biomed Inform; 2021 Sep; 121():103880. PubMed ID: 34390853
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
