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 *

87 related articles for article (PubMed ID: 32570367)

  • 21. Semi-supervised distributed representations of documents for sentiment analysis.
    Park S; Lee J; Kim K
    Neural Netw; 2019 Nov; 119():139-150. PubMed ID: 31425854
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Using natural language processing and machine learning to identify breast cancer local recurrence.
    Zeng Z; Espino S; Roy A; Li X; Khan SA; Clare SE; Jiang X; Neapolitan R; Luo Y
    BMC Bioinformatics; 2018 Dec; 19(Suppl 17):498. PubMed ID: 30591037
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Tool-supported Interactive Correction and Semantic Annotation of Narrative Clinical Reports.
    Zvára K; Tomečková M; Peleška J; Svátek V; Zvárová J
    Methods Inf Med; 2017 May; 56(3):217-229. PubMed ID: 28451691
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Automating Ischemic Stroke Subtype Classification Using Machine Learning and Natural Language Processing.
    Garg R; Oh E; Naidech A; Kording K; Prabhakaran S
    J Stroke Cerebrovasc Dis; 2019 Jul; 28(7):2045-2051. PubMed ID: 31103549
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Identifying and characterizing highly similar notes in big clinical note datasets.
    Gabriel RA; Kuo TT; McAuley J; Hsu CN
    J Biomed Inform; 2018 Jun; 82():63-69. PubMed ID: 29679685
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Automated feature selection of predictors in electronic medical records data.
    Gronsbell J; Minnier J; Yu S; Liao K; Cai T
    Biometrics; 2019 Mar; 75(1):268-277. PubMed ID: 30353541
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Natural Language Processing and Its Implications for the Future of Medication Safety: A Narrative Review of Recent Advances and Challenges.
    Wong A; Plasek JM; Montecalvo SP; Zhou L
    Pharmacotherapy; 2018 Aug; 38(8):822-841. PubMed ID: 29884988
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Annotation methods to develop and evaluate an expert system based on natural language processing in electronic medical records.
    Gicquel Q; Tvardik N; Bouvry C; Kergourlay I; Bittar A; Segond F; Darmoni S; Metzger MH
    Stud Health Technol Inform; 2015; 216():1067. PubMed ID: 26262366
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Using natural language processing and machine learning to identify gout flares from electronic clinical notes.
    Zheng C; Rashid N; Wu YL; Koblick R; Lin AT; Levy GD; Cheetham TC
    Arthritis Care Res (Hoboken); 2014 Nov; 66(11):1740-8. PubMed ID: 24664671
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Discovering and identifying New York heart association classification from electronic health records.
    Zhang R; Ma S; Shanahan L; Munroe J; Horn S; Speedie S
    BMC Med Inform Decis Mak; 2018 Jul; 18(Suppl 2):48. PubMed ID: 30066653
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Automated Spelling Correction for Clinical Text Mining in Russian.
    Balabaeva K; Funkner A; Kovalchuk S
    Stud Health Technol Inform; 2020 Jun; 270():43-47. PubMed ID: 32570343
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Machine learning, natural language programming, and electronic health records: The next step in the artificial intelligence journey?
    Mehta N; Devarakonda MV
    J Allergy Clin Immunol; 2018 Jun; 141(6):2019-2021.e1. PubMed ID: 29518424
    [No Abstract]   [Full Text] [Related]  

  • 33. Deep Learning Approaches Outperform Conventional Strategies in De-Identification of German Medical Reports.
    Richter-Pechanski P; Amr A; Katus HA; Dieterich C
    Stud Health Technol Inform; 2019 Sep; 267():101-109. PubMed ID: 31483261
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Development and evaluation of RapTAT: a machine learning system for concept mapping of phrases from medical narratives.
    Gobbel GT; Reeves R; Jayaramaraja S; Giuse D; Speroff T; Brown SH; Elkin PL; Matheny ME
    J Biomed Inform; 2014 Apr; 48():54-65. PubMed ID: 24316051
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Automated problem list generation and physicians perspective from a pilot study.
    Devarakonda MV; Mehta N; Tsou CH; Liang JJ; Nowacki AS; Jelovsek JE
    Int J Med Inform; 2017 Sep; 105():121-129. PubMed ID: 28750905
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Detecting the presence of an indwelling urinary catheter and urinary symptoms in hospitalized patients using natural language processing.
    Gundlapalli AV; Divita G; Redd A; Carter ME; Ko D; Rubin M; Samore M; Strymish J; Krein S; Gupta K; Sales A; Trautner BW
    J Biomed Inform; 2017 Jul; 71S():S39-S45. PubMed ID: 27404849
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Automated misspelling detection and correction in clinical free-text records.
    Lai KH; Topaz M; Goss FR; Zhou L
    J Biomed Inform; 2015 Jun; 55():188-95. PubMed ID: 25917057
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Natural Language-based Machine Learning Models for the Annotation of Clinical Radiology Reports.
    Zech J; Pain M; Titano J; Badgeley M; Schefflein J; Su A; Costa A; Bederson J; Lehar J; Oermann EK
    Radiology; 2018 May; 287(2):570-580. PubMed ID: 29381109
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Automated identification of wound information in clinical notes of patients with heart diseases: Developing and validating a natural language processing application.
    Topaz M; Lai K; Dowding D; Lei VJ; Zisberg A; Bowles KH; Zhou L
    Int J Nurs Stud; 2016 Dec; 64():25-31. PubMed ID: 27668855
    [TBL] [Abstract][Full Text] [Related]  

  • 40. 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]  

    [Previous]   [Next]    [New Search]
    of 5.