BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

164 related articles for article (PubMed ID: 35583933)

  • 1. One Hundred Years of Hypertension Research: Topic Modeling Study.
    Abba M; Nduka C; Anjorin S; Mohamed S; Agogo E; Uthman O
    JMIR Form Res; 2022 May; 6(5):e31292. PubMed ID: 35583933
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Use of topic modeling to assess research trends in the journal Gynecologic Oncology.
    Grubbs AE; Sinha N; Garg R; Barber EL
    Gynecol Oncol; 2023 May; 172():41-46. PubMed ID: 36933402
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Machine Learning-Based Classification of 38 Years of Spine-Related Literature Into 100 Research Topics.
    Sing DC; Metz LN; Dudli S
    Spine (Phila Pa 1976); 2017 Jun; 42(11):863-870. PubMed ID: 28125523
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Analysis and prospect of clinical psychology based on topic models: hot research topics and scientific trends in the latest decades.
    Liu S; Zhang RY; Kishimoto T
    Psychol Health Med; 2021 Apr; 26(4):395-407. PubMed ID: 32156155
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Analyzing research trends on drug safety using topic modeling.
    Zou C
    Expert Opin Drug Saf; 2018 Jun; 17(6):629-636. PubMed ID: 29621918
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Analysis of Scientific Publications During the Early Phase of the COVID-19 Pandemic: Topic Modeling Study.
    Älgå A; Eriksson O; Nordberg M
    J Med Internet Res; 2020 Nov; 22(11):e21559. PubMed ID: 33031049
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A bibliometric analysis of 23,492 publications on rectal cancer by machine learning: basic medical research is needed.
    Wang K; Feng C; Li M; Pei Q; Li Y; Zhu H; Song X; Pei H; Tan F
    Therap Adv Gastroenterol; 2020; 13():1756284820934594. PubMed ID: 32782478
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Identifying Topics and Evolutionary Trends of Literature on Brain Metastases Using Latent Dirichlet Allocation.
    Chen J; Williams M; Huang Y; Si S
    Front Mol Biosci; 2022; 9():858577. PubMed ID: 35720132
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Automating Large-scale Health Care Service Feedback Analysis: Sentiment Analysis and Topic Modeling Study.
    Alexander G; Bahja M; Butt GF
    JMIR Med Inform; 2022 Apr; 10(4):e29385. PubMed ID: 35404254
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Latent Dirichlet Allocation in predicting clinical trial terminations.
    Geletta S; Follett L; Laugerman M
    BMC Med Inform Decis Mak; 2019 Nov; 19(1):242. PubMed ID: 31775737
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Topics, Trends, and Sentiments of Tweets About the COVID-19 Pandemic: Temporal Infoveillance Study.
    Chandrasekaran R; Mehta V; Valkunde T; Moustakas E
    J Med Internet Res; 2020 Oct; 22(10):e22624. PubMed ID: 33006937
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Exploring research trends of technology use in mathematics education: A scoping review using topic modeling.
    Hwang S; Flavin E; Lee JE
    Educ Inf Technol (Dordr); 2023 Feb; ():1-28. PubMed ID: 36779196
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Exploring the landscape, hot topics, and trends of bariatric metabolic surgery with machine learning and bibliometric analysis.
    Song Y; Ni Z; Li Y; Li Z; Zhang J; Guo D; Yuan C; Zhang Z; Li Y
    Ther Adv Gastrointest Endosc; 2022; 15():26317745221111944. PubMed ID: 35923214
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Text mining for identifying topics in the literatures about adolescent substance use and depression.
    Wang SH; Ding Y; Zhao W; Huang YH; Perkins R; Zou W; Chen JJ
    BMC Public Health; 2016 Mar; 16():279. PubMed ID: 26993983
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Impact Factors and Prediction of Popular Topics in a Journal.
    Nielsen MB; Seitz K
    Ultraschall Med; 2016 Aug; 37(4):343-5. PubMed ID: 27490462
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Latent Dirichlet allocation topic modeling of free-text responses exploring the negative impact of the early COVID-19 pandemic on research in nursing.
    Inoue M; Fukahori H; Matsubara M; Yoshinaga N; Tohira H
    Jpn J Nurs Sci; 2023 Apr; 20(2):e12520. PubMed ID: 36448530
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Data-driven modeling and prediction of blood glucose dynamics: Machine learning applications in type 1 diabetes.
    Woldaregay AZ; Årsand E; Walderhaug S; Albers D; Mamykina L; Botsis T; Hartvigsen G
    Artif Intell Med; 2019 Jul; 98():109-134. PubMed ID: 31383477
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Identifying Key Topics Bearing Negative Sentiment on Twitter: Insights Concerning the 2015-2016 Zika Epidemic.
    Mamidi R; Miller M; Banerjee T; Romine W; Sheth A
    JMIR Public Health Surveill; 2019 Jun; 5(2):e11036. PubMed ID: 31165711
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Trends in major intensive care medicine journals: A machine learning approach.
    Popoff B; Occhiali É; Grangé S; Bergis A; Carpentier D; Tamion F; Veber B; Clavier T
    J Crit Care; 2022 Dec; 72():154163. PubMed ID: 36209696
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Comprehensive overview of the anesthesiology research landscape: A machine Learning Analysis of 737 NIH-funded anesthesiology primary Investigator's publication trends.
    Ghanem M; Espinosa C; Chung P; Reincke M; Harrison N; Phongpreecha T; Shome S; Saarunya G; Berson E; James T; Xie F; Shu CH; Hazra D; Mataraso S; Kim Y; Seong D; Chakraborty D; Studer M; Xue L; Marić I; Chang AL; Tjoa E; Gaudillière B; Tawfik VL; Mackey S; Aghaeepour N
    Heliyon; 2024 Apr; 10(7):e29050. PubMed ID: 38623206
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.