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 *

357 related articles for article (PubMed ID: 33961736)

  • 1. Learned Embeddings from Deep Learning to Visualize and Predict Protein Sets.
    Dallago C; Schütze K; Heinzinger M; Olenyi T; Littmann M; Lu AX; Yang KK; Min S; Yoon S; Morton JT; Rost B
    Curr Protoc; 2021 May; 1(5):e113. PubMed ID: 33961736
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. Modeling aspects of the language of life through transfer-learning protein sequences.
    Heinzinger M; Elnaggar A; Wang Y; Dallago C; Nechaev D; Matthes F; Rost B
    BMC Bioinformatics; 2019 Dec; 20(1):723. PubMed ID: 31847804
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. Predicting mortality in critically ill patients with diabetes using machine learning and clinical notes.
    Ye J; Yao L; Shen J; Janarthanam R; Luo Y
    BMC Med Inform Decis Mak; 2020 Dec; 20(Suppl 11):295. PubMed ID: 33380338
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Learning Contextual Hierarchical Structure of Medical Concepts with Poincairé Embeddings to Clarify Phenotypes.
    Beaulieu-Jones BK; Kohane IS; Beam AL
    Pac Symp Biocomput; 2019; 24():8-17. PubMed ID: 30864306
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Embeddings from deep learning transfer GO annotations beyond homology.
    Littmann M; Heinzinger M; Dallago C; Olenyi T; Rost B
    Sci Rep; 2021 Jan; 11(1):1160. PubMed ID: 33441905
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Visualization of medical concepts represented using word embeddings: a scoping review.
    Oubenali N; Messaoud S; Filiot A; Lamer A; Andrey P
    BMC Med Inform Decis Mak; 2022 Mar; 22(1):83. PubMed ID: 35351120
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. Tree visualizations of protein sequence embedding space enable improved functional clustering of diverse protein superfamilies.
    Yeung W; Zhou Z; Mathew L; Gravel N; Taujale R; O'Boyle B; Salcedo M; Venkat A; Lanzilotta W; Li S; Kannan N
    Brief Bioinform; 2023 Jan; 24(1):. PubMed ID: 36642409
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Data Integration Using Advances in Machine Learning in Drug Discovery and Molecular Biology.
    Hudson IL
    Methods Mol Biol; 2021; 2190():167-184. PubMed ID: 32804365
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Organizing the bacterial annotation space with amino acid sequence embeddings.
    Grigson SR; McKerral JC; Mitchell JG; Edwards RA
    BMC Bioinformatics; 2022 Sep; 23(1):385. PubMed ID: 36151519
    [TBL] [Abstract][Full Text] [Related]  

  • 13. BioConceptVec: Creating and evaluating literature-based biomedical concept embeddings on a large scale.
    Chen Q; Lee K; Yan S; Kim S; Wei CH; Lu Z
    PLoS Comput Biol; 2020 Apr; 16(4):e1007617. PubMed ID: 32324731
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Deep learning with sentence embeddings pre-trained on biomedical corpora improves the performance of finding similar sentences in electronic medical records.
    Chen Q; Du J; Kim S; Wilbur WJ; Lu Z
    BMC Med Inform Decis Mak; 2020 Apr; 20(Suppl 1):73. PubMed ID: 32349758
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Prediction of coronary artery bypass graft outcomes using a single surgical note: An artificial intelligence-based prediction model study.
    Del Gaizo J; Sherard C; Shorbaji K; Welch B; Mathi R; Kilic A
    PLoS One; 2024; 19(4):e0300796. PubMed ID: 38662684
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Investigating the impact of pre-processing techniques and pre-trained word embeddings in detecting Arabic health information on social media.
    Albalawi Y; Buckley J; Nikolov NS
    J Big Data; 2021; 8(1):95. PubMed ID: 34249602
    [TBL] [Abstract][Full Text] [Related]  

  • 17. SECNLP: A survey of embeddings in clinical natural language processing.
    Kalyan KS; Sangeetha S
    J Biomed Inform; 2020 Jan; 101():103323. PubMed ID: 31711972
    [TBL] [Abstract][Full Text] [Related]  

  • 18. The Impact of Specialized Corpora for Word Embeddings in Natural Langage Understanding.
    Neuraz A; Rance B; Garcelon N; Llanos LC; Burgun A; Rosset S
    Stud Health Technol Inform; 2020 Jun; 270():432-436. PubMed ID: 32570421
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Basic Artificial Intelligence Techniques: Natural Language Processing of Radiology Reports.
    Steinkamp J; Cook TS
    Radiol Clin North Am; 2021 Nov; 59(6):919-931. PubMed ID: 34689877
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Applying Artificial Intelligence Methods for the Estimation of Disease Incidence: The Utility of Language Models.
    Zhang Y; Walecki R; Winter JR; Bragman FJS; Lourenco S; Hart C; Baker A; Perov Y; Johri S
    Front Digit Health; 2020; 2():569261. PubMed ID: 34713043
    [No Abstract]   [Full Text] [Related]  

    [Next]    [New Search]
    of 18.