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.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

175 related articles for article (PubMed ID: 35534148)

  • 1. Multilabel classification of medical concepts for patient clinical profile identification.
    Gérardin C; Wajsbürt P; Vaillant P; Bellamine A; Carrat F; Tannier X
    Artif Intell Med; 2022 Jun; 128():102311. PubMed ID: 35534148
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Medical concept normalization in French using multilingual terminologies and contextual embeddings.
    Wajsbürt P; Sarfati A; Tannier X
    J Biomed Inform; 2021 Feb; 114():103684. PubMed ID: 33450387
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Transformers-sklearn: a toolkit for medical language understanding with transformer-based models.
    Yang F; Wang X; Ma H; Li J
    BMC Med Inform Decis Mak; 2021 Jul; 21(Suppl 2):90. PubMed ID: 34330244
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Ontology-driven and weakly supervised rare disease identification from clinical notes.
    Dong H; Suárez-Paniagua V; Zhang H; Wang M; Casey A; Davidson E; Chen J; Alex B; Whiteley W; Wu H
    BMC Med Inform Decis Mak; 2023 May; 23(1):86. PubMed ID: 37147628
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Transformers for extracting breast cancer information from Spanish clinical narratives.
    Solarte-Pabón O; Montenegro O; García-Barragán A; Torrente M; Provencio M; Menasalvas E; Robles V
    Artif Intell Med; 2023 Sep; 143():102625. PubMed ID: 37673566
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A Semi-Automated Approach for Multilingual Terminology Matching: Mapping the French Version of the ICD-10 to the ICD-10 CM.
    Sylvestre E; Bouzillé G; McDuffie M; Chazard E; Avillach P; Cuggia M
    Stud Health Technol Inform; 2020 Jun; 270():18-22. PubMed ID: 32570338
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Medical subdomain classification of clinical notes using a machine learning-based natural language processing approach.
    Weng WH; Wagholikar KB; McCray AT; Szolovits P; Chueh HC
    BMC Med Inform Decis Mak; 2017 Dec; 17(1):155. PubMed ID: 29191207
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Use of "off-the-shelf" information extraction algorithms in clinical informatics: A feasibility study of MetaMap annotation of Italian medical notes.
    Chiaramello E; Pinciroli F; Bonalumi A; Caroli A; Tognola G
    J Biomed Inform; 2016 Oct; 63():22-32. PubMed ID: 27444186
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Fostering Multilinguality in the UMLS: A Computational Approach to Terminology Expansion for Multiple Languages.
    Hellrich J; Hahn U
    AMIA Annu Symp Proc; 2014; 2014():655-660d. PubMed ID: 25954371
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. Leveraging Wikipedia knowledge to classify multilingual biomedical documents.
    Antonio Mouriño García M; Pérez Rodríguez R; Anido Rifón L
    Artif Intell Med; 2018 Jun; 88():37-57. PubMed ID: 29730047
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Transformer-based approach for symptom recognition and multilingual linking.
    Vassileva S; Grazhdanski G; Koychev I; Boytcheva S
    Database (Oxford); 2024 Sep; 2024():. PubMed ID: 39259689
    [TBL] [Abstract][Full Text] [Related]  

  • 13. TAXN: Translate Align Extract Normalize, a Multilingual Extraction Tool for Clinical Texts.
    Neuraz A; Lerner I; Birot O; Arias C; Han L; Bonzel CL; Cai T; Huynh KT; Coulet A
    Stud Health Technol Inform; 2024 Jan; 310():649-653. PubMed ID: 38269889
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Evaluating shallow and deep learning strategies for the 2018 n2c2 shared task on clinical text classification.
    Oleynik M; Kugic A; Kasáč Z; Kreuzthaler M
    J Am Med Inform Assoc; 2019 Nov; 26(11):1247-1254. PubMed ID: 31512729
    [TBL] [Abstract][Full Text] [Related]  

  • 15. On the Construction of Multilingual Corpora for Clinical Text Mining.
    Villena F; Eisenmann U; Knaup P; Dunstan J; Ganzinger M
    Stud Health Technol Inform; 2020 Jun; 270():347-351. PubMed ID: 32570404
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Extraction of UMLS® Concepts Using Apache cTAKES™ for German Language.
    Becker M; Böckmann B
    Stud Health Technol Inform; 2016; 223():71-6. PubMed ID: 27139387
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Cimind: A phonetic-based tool for multilingual named entity recognition in biomedical texts.
    Cabot C; Darmoni S; Soualmia LF
    J Biomed Inform; 2019 Jun; 94():103176. PubMed ID: 30980962
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Multi-head CRF classifier for biomedical multi-class named entity recognition on Spanish clinical notes.
    Jonker RAA; Almeida T; Antunes R; Almeida JR; Matos S
    Database (Oxford); 2024 Jul; 2024():. PubMed ID: 39083461
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. UMLS-based data augmentation for natural language processing of clinical research literature.
    Kang T; Perotte A; Tang Y; Ta C; Weng C
    J Am Med Inform Assoc; 2021 Mar; 28(4):812-823. PubMed ID: 33367705
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.