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 *

102 related articles for article (PubMed ID: 31437894)

  • 1. Evaluating the Impact of Text Duplications on a Corpus of More than 600,000 Clinical Narratives in a French Hospital.
    Digan W; Wack M; Looten V; Neuraz A; Burgun A; Rance B
    Stud Health Technol Inform; 2019 Aug; 264():103-107. PubMed ID: 31437894
    [TBL] [Abstract][Full Text] [Related]  

  • 2. [A customized method for information extraction from unstructured text data in the electronic medical records].
    Bao XY; Huang WJ; Zhang K; Jin M; Li Y; Niu CZ
    Beijing Da Xue Xue Bao Yi Xue Ban; 2018 Apr; 50(2):256-263. PubMed ID: 29643524
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Natural language processing of symptoms documented in free-text narratives of electronic health records: a systematic review.
    Koleck TA; Dreisbach C; Bourne PE; Bakken S
    J Am Med Inform Assoc; 2019 Apr; 26(4):364-379. PubMed ID: 30726935
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A new algorithmic approach for the extraction of temporal associations from clinical narratives with an application to medical product safety surveillance reports.
    Wang W; Kreimeyer K; Woo EJ; Ball R; Foster M; Pandey A; Scott J; Botsis T
    J Biomed Inform; 2016 Aug; 62():78-89. PubMed ID: 27327528
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Extracting Sexual Trauma Mentions from Electronic Medical Notes Using Natural Language Processing.
    Divita G; Brignone E; Carter ME; Suo Y; Blais RK; Samore MH; Fargo JD; Gundlapalli AV
    Stud Health Technol Inform; 2017; 245():351-355. PubMed ID: 29295114
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Enhanced information retrieval from narrative German-language clinical text documents using automated document classification.
    Spat S; Cadonna B; Rakovac I; Gütl C; Leitner H; Stark G; Beck P
    Stud Health Technol Inform; 2008; 136():473-8. PubMed ID: 18487776
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Clinical Concept Normalization on Medical Records Using Word Embeddings and Heuristics.
    Silva JF; Antunes R; Almeida JR; Matos S
    Stud Health Technol Inform; 2020 Jun; 270():93-97. PubMed ID: 32570353
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Annotating temporal information in clinical narratives.
    Sun W; Rumshisky A; Uzuner O
    J Biomed Inform; 2013 Dec; 46 Suppl(0):S5-S12. PubMed ID: 23872518
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Combining rules and machine learning for extraction of temporal expressions and events from clinical narratives.
    Kovacevic A; Dehghan A; Filannino M; Keane JA; Nenadic G
    J Am Med Inform Assoc; 2013; 20(5):859-66. PubMed ID: 23605114
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Advancing the state of the art in automatic extraction of adverse drug events from narratives.
    Uzuner Ö; Stubbs A; Lenert L
    J Am Med Inform Assoc; 2020 Jan; 27(1):1-2. PubMed ID: 31841150
    [No Abstract]   [Full Text] [Related]  

  • 11. Evaluating Patients' Experiences with Healthcare Services: Extracting Domain and Language-Specific Information from Free-Text Narratives.
    Jacennik B; Zawadzka-Gosk E; Moreira JP; Glinkowski WM
    Int J Environ Res Public Health; 2022 Aug; 19(16):. PubMed ID: 36011816
    [TBL] [Abstract][Full Text] [Related]  

  • 12. MedTime: a temporal information extraction system for clinical narratives.
    Lin YK; Chen H; Brown RA
    J Biomed Inform; 2013 Dec; 46 Suppl():S20-S28. PubMed ID: 23911344
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Design of an extensive information representation scheme for clinical narratives.
    Deléger L; Campillos L; Ligozat AL; Névéol A
    J Biomed Semantics; 2017 Sep; 8(1):37. PubMed ID: 28893314
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A Semi-Automatic Framework to Identify Abnormal States in EHR Narratives.
    Ma X; Imai T; Shinohara E; Sakurai R; Kozaki K; Ohe K
    Stud Health Technol Inform; 2017; 245():910-914. PubMed ID: 29295232
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Automatic Annotation of French Medical Narratives with SNOMED CT Concepts.
    Gaudet-Blavignac C; Foufi V; Wehrli E; Lovis C
    Stud Health Technol Inform; 2018; 247():710-714. PubMed ID: 29678053
    [TBL] [Abstract][Full Text] [Related]  

  • 16. PDF text classification to leverage information extraction from publication reports.
    Bui DD; Del Fiol G; Jonnalagadda S
    J Biomed Inform; 2016 Jun; 61():141-8. PubMed ID: 27044929
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A method for cohort selection of cardiovascular disease records from an electronic health record system.
    Abrahão MTF; Nobre MRC; Gutierrez MA
    Int J Med Inform; 2017 Jun; 102():138-149. PubMed ID: 28495342
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Using openEHR Archetypes for Automated Extraction of Numerical Information from Clinical Narratives.
    Zubke M; Bott OJ; Marschollek M
    Stud Health Technol Inform; 2019 Sep; 267():156-163. PubMed ID: 31483268
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Dense Annotation of Free-Text Critical Care Discharge Summaries from an Indian Hospital and Associated Performance of a Clinical NLP Annotator.
    Ramanan SV; Radhakrishna K; Waghmare A; Raj T; Nathan SP; Sreerama SM; Sampath S
    J Med Syst; 2016 Aug; 40(8):187. PubMed ID: 27342107
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Developing a cardiovascular disease risk factor annotated corpus of Chinese electronic medical records.
    Su J; He B; Guan Y; Jiang J; Yang J
    BMC Med Inform Decis Mak; 2017 Aug; 17(1):117. PubMed ID: 28789686
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.