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 *

188 related articles for article (PubMed ID: 33348764)

  • 1. Automated Classification of Online Sources for Infectious Disease Occurrences Using Machine-Learning-Based Natural Language Processing Approaches.
    Kim M; Chae K; Lee S; Jang HJ; Kim S
    Int J Environ Res Public Health; 2020 Dec; 17(24):. PubMed ID: 33348764
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Development of a global infectious disease activity database using natural language processing, machine learning, and human expertise.
    Feldman J; Thomas-Bachli A; Forsyth J; Patel ZH; Khan K
    J Am Med Inform Assoc; 2019 Nov; 26(11):1355-1359. PubMed ID: 31361300
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Social Reminiscence in Older Adults' Everyday Conversations: Automated Detection Using Natural Language Processing and Machine Learning.
    Ferrario A; Demiray B; Yordanova K; Luo M; Martin M
    J Med Internet Res; 2020 Sep; 22(9):e19133. PubMed ID: 32866108
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Named entity recognition from Chinese adverse drug event reports with lexical feature based BiLSTM-CRF and tri-training.
    Chen Y; Zhou C; Li T; Wu H; Zhao X; Ye K; Liao J
    J Biomed Inform; 2019 Aug; 96():103252. PubMed ID: 31323311
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Automated Travel History Extraction From Clinical Notes for Informing the Detection of Emergent Infectious Disease Events: Algorithm Development and Validation.
    Peterson KS; Lewis J; Patterson OV; Chapman AB; Denhalter DW; Lye PA; Stevens VW; Gamage SD; Roselle GA; Wallace KS; Jones M
    JMIR Public Health Surveill; 2021 Mar; 7(3):e26719. PubMed ID: 33759790
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Performance of a Machine Learning Classifier of Knee MRI Reports in Two Large Academic Radiology Practices: A Tool to Estimate Diagnostic Yield.
    Hassanpour S; Langlotz CP; Amrhein TJ; Befera NT; Lungren MP
    AJR Am J Roentgenol; 2017 Apr; 208(4):750-753. PubMed ID: 28140627
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Natural language processing and machine learning approaches for food categorization and nutrition quality prediction compared with traditional methods.
    Hu G; Ahmed M; L'Abbé MR
    Am J Clin Nutr; 2023 Mar; 117(3):553-563. PubMed ID: 36872019
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A comparison of rule-based and machine learning approaches for classifying patient portal messages.
    Cronin RM; Fabbri D; Denny JC; Rosenbloom ST; Jackson GP
    Int J Med Inform; 2017 Sep; 105():110-120. PubMed ID: 28750904
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Automation of penicillin adverse drug reaction categorisation and risk stratification with machine learning natural language processing.
    Inglis JM; Bacchi S; Troelnikov A; Smith W; Shakib S
    Int J Med Inform; 2021 Dec; 156():104611. PubMed ID: 34653809
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Natural Language Processing for Imaging Protocol Assignment: Machine Learning for Multiclass Classification of Abdominal CT Protocols Using Indication Text Data.
    Xavier BA; Chen PH
    J Digit Imaging; 2022 Oct; 35(5):1120-1130. PubMed ID: 35654878
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Negation detection in Dutch clinical texts: an evaluation of rule-based and machine learning methods.
    van Es B; Reteig LC; Tan SC; Schraagen M; Hemker MM; Arends SRS; Rios MAR; Haitjema S
    BMC Bioinformatics; 2023 Jan; 24(1):10. PubMed ID: 36624385
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. Machine Learning and Natural Language Processing for Geolocation-Centric Monitoring and Characterization of Opioid-Related Social Media Chatter.
    Sarker A; Gonzalez-Hernandez G; Ruan Y; Perrone J
    JAMA Netw Open; 2019 Nov; 2(11):e1914672. PubMed ID: 31693125
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Automatic classification of scanned electronic health record documents.
    Goodrum H; Roberts K; Bernstam EV
    Int J Med Inform; 2020 Dec; 144():104302. PubMed ID: 33091829
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Large scale biomedical texts classification: a kNN and an ESA-based approaches.
    Dramé K; Mougin F; Diallo G
    J Biomed Semantics; 2016 Jun; 7():40. PubMed ID: 27312781
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. Using Natural Language Processing and Machine Learning to Identify Hospitalized Patients with Opioid Use Disorder.
    Blackley SV; MacPhaul E; Martin B; Song W; Suzuki J; Zhou L
    AMIA Annu Symp Proc; 2020; 2020():233-242. PubMed ID: 33936395
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Artificial Intelligence Learning Semantics via External Resources for Classifying Diagnosis Codes in Discharge Notes.
    Lin C; Hsu CJ; Lou YS; Yeh SJ; Lee CC; Su SL; Chen HC
    J Med Internet Res; 2017 Nov; 19(11):e380. PubMed ID: 29109070
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Linguistic Pattern-Infused Dual-Channel Bidirectional Long Short-term Memory With Attention for Dengue Case Summary Generation From the Program for Monitoring Emerging Diseases-Mail Database: Algorithm Development Study.
    Chang YC; Chiu YW; Chuang TW
    JMIR Public Health Surveill; 2022 Jul; 8(7):e34583. PubMed ID: 35830225
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 10.