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 *

122 related articles for article (PubMed ID: 36217359)

  • 1. Predictive modeling for suspicious content identification on Twitter.
    Gangwar SS; Rathore SS; Chouhan SS; Soni S
    Soc Netw Anal Min; 2022; 12(1):149. PubMed ID: 36217359
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Classification of Twitter Users Who Tweet About E-Cigarettes.
    Kim A; Miano T; Chew R; Eggers M; Nonnemaker J
    JMIR Public Health Surveill; 2017 Sep; 3(3):e63. PubMed ID: 28951381
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Identifying Patients With Inflammatory Bowel Disease on Twitter and Learning From Their Personal Experience: Retrospective Cohort Study.
    Stemmer M; Parmet Y; Ravid G
    J Med Internet Res; 2022 Aug; 24(8):e29186. PubMed ID: 35917151
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Application of interval type-2 fuzzy logic and type-1 fuzzy logic-based approaches to social networks for spam detection with combined feature capabilities.
    Atacak İ; Çıtlak O; Doğru İA
    PeerJ Comput Sci; 2023; 9():e1316. PubMed ID: 37346510
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Real-Time Twitter Spam Detection and Sentiment Analysis using Machine Learning and Deep Learning Techniques.
    Rodrigues AP; Fernandes R; A A; B A; Shetty A; K A; Lakshmanna K; Shafi RM
    Comput Intell Neurosci; 2022; 2022():5211949. PubMed ID: 35463239
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Dataset of Arabic spam and ham tweets.
    Kaddoura S; Henno S
    Data Brief; 2024 Feb; 52():109904. PubMed ID: 38093848
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Scalable Learning Framework for Detecting New Types of Twitter Spam with Misuse and Anomaly Detection.
    Choi J; Jeon B; Jeon C
    Sensors (Basel); 2024 Apr; 24(7):. PubMed ID: 38610475
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A systematic literature review on spam content detection and classification.
    Kaddoura S; Chandrasekaran G; Elena Popescu D; Duraisamy JH
    PeerJ Comput Sci; 2022; 8():e830. PubMed ID: 35174265
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A natural language processing pipeline to advance the use of Twitter data for digital epidemiology of adverse pregnancy outcomes.
    Klein AZ; Cai H; Weissenbacher D; Levine LD; Gonzalez-Hernandez G
    J Biomed Inform; 2020; 112S():100076. PubMed ID: 34417007
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Characterizing the Discussion of Antibiotics in the Twittersphere: What is the Bigger Picture?
    Kendra RL; Karki S; Eickholt JL; Gandy L
    J Med Internet Res; 2015 Jun; 17(6):e154. PubMed ID: 26091775
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Role of twitter user profile features in retweet prediction for big data streams.
    Sharma S; Gupta V
    Multimed Tools Appl; 2022; 81(19):27309-27338. PubMed ID: 35368857
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Evading obscure communication from spam emails.
    Rafat KF; Xin Q; Javed AR; Jalil Z; Ahmad RZ
    Math Biosci Eng; 2022 Jan; 19(2):1926-1943. PubMed ID: 35135236
    [TBL] [Abstract][Full Text] [Related]  

  • 13. An intelligent identification and classification system for malicious uniform resource locators (URLs).
    Abu Al-Haija Q; Al-Fayoumi M
    Neural Comput Appl; 2023 Apr; ():1-17. PubMed ID: 37362563
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Deep convolutional forest: a dynamic deep ensemble approach for spam detection in text.
    Shaaban MA; Hassan YF; Guirguis SK
    Complex Intell Systems; 2022; 8(6):4897-4909. PubMed ID: 35496326
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Lies Kill, Facts Save: Detecting COVID-19 Misinformation in Twitter.
    Al-Rakhami MS; Al-Amri AM
    IEEE Access; 2020; 8():155961-155970. PubMed ID: 34192115
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Enhancing Spam Message Classification and Detection Using Transformer-Based Embedding and Ensemble Learning.
    Ghourabi A; Alohaly M
    Sensors (Basel); 2023 Apr; 23(8):. PubMed ID: 37112202
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A study on real-time low-quality content detection on Twitter from the users' perspective.
    Chen W; Yeo CK; Lau CT; Lee BS
    PLoS One; 2017; 12(8):e0182487. PubMed ID: 28793347
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Predicting age groups of Twitter users based on language and metadata features.
    Morgan-Lopez AA; Kim AE; Chew RF; Ruddle P
    PLoS One; 2017; 12(8):e0183537. PubMed ID: 28850620
    [TBL] [Abstract][Full Text] [Related]  

  • 19. An Ensemble Deep Learning Model for Drug Abuse Detection in Sparse Twitter-Sphere.
    Hu H; Phan N; Geller J; Iezzi S; Vo H; Dou D; Chun SA
    Stud Health Technol Inform; 2019 Aug; 264():163-167. PubMed ID: 31437906
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Asian hate speech detection on Twitter during COVID-19.
    Toliyat A; Levitan SI; Peng Z; Etemadpour R
    Front Artif Intell; 2022; 5():932381. PubMed ID: 36046150
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.