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 *

167 related articles for article (PubMed ID: 36846219)

  • 1. Detecting depression of Chinese microblog users
    Lyu S; Ren X; Du Y; Zhao N
    Front Psychiatry; 2023; 14():1121583. PubMed ID: 36846219
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Assessing Suicide Risk and Emotional Distress in Chinese Social Media: A Text Mining and Machine Learning Study.
    Cheng Q; Li TM; Kwok CL; Zhu T; Yip PS
    J Med Internet Res; 2017 Jul; 19(7):e243. PubMed ID: 28694239
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Creating a Chinese suicide dictionary for identifying suicide risk on social media.
    Lv M; Li A; Liu T; Zhu T
    PeerJ; 2015; 3():e1455. PubMed ID: 26713232
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Proactive Suicide Prevention Online (PSPO): Machine Identification and Crisis Management for Chinese Social Media Users With Suicidal Thoughts and Behaviors.
    Liu X; Liu X; Sun J; Yu NX; Sun B; Li Q; Zhu T
    J Med Internet Res; 2019 May; 21(5):e11705. PubMed ID: 31344675
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Automatic anxiety recognition method based on microblog text analysis.
    Yu Y; Li Q; Liu X
    Front Public Health; 2023; 11():1080013. PubMed ID: 37020823
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Development of the Japanese Version of the Linguistic Inquiry and Word Count Dictionary 2015.
    Igarashi T; Okuda S; Sasahara K
    Front Psychol; 2022; 13():841534. PubMed ID: 35330723
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Linguistic Analysis for Identifying Depression and Subsequent Suicidal Ideation on Weibo: Machine Learning Approaches.
    Pan W; Wang X; Zhou W; Hang B; Guo L
    Int J Environ Res Public Health; 2023 Feb; 20(3):. PubMed ID: 36768053
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A Comparison of the Psycholinguistic Styles of Schizophrenia-Related Stigma and Depression-Related Stigma on Social Media: Content Analysis.
    Li A; Jiao D; Liu X; Zhu T
    J Med Internet Res; 2020 Apr; 22(4):e16470. PubMed ID: 32314969
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Psycho-Linguistic Changes Associated With Historical Celebrities in Henan Using Classical Chinese Big Data.
    Zhao Y; Xing F; Fan M; Li H; Zhu T
    Front Psychol; 2021; 12():648677. PubMed ID: 34594258
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Analyzing Suicide Risk From Linguistic Features in Social Media: Evaluation Study.
    Lao C; Lane J; Suominen H
    JMIR Form Res; 2022 Aug; 6(8):e35563. PubMed ID: 36040781
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Identifying Chinese Microblog Users With High Suicide Probability Using Internet-Based Profile and Linguistic Features: Classification Model.
    Guan L; Hao B; Cheng Q; Yip PS; Zhu T
    JMIR Ment Health; 2015; 2(2):e17. PubMed ID: 26543921
    [TBL] [Abstract][Full Text] [Related]  

  • 12. [A pilot study of differences in behavioral and linguistic characteristics between Sina suicide microblog users and Sina microblog users without suicide idea].
    Guan L; Hao B; Liu T; Cheng Q; Yip PS; Zhu T
    Zhonghua Liu Xing Bing Xue Za Zhi; 2015 May; 36(5):421-5. PubMed ID: 26080626
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Detecting Recovery Problems Just in Time: Application of Automated Linguistic Analysis and Supervised Machine Learning to an Online Substance Abuse Forum.
    Kornfield R; Sarma PK; Shah DV; McTavish F; Landucci G; Pe-Romashko K; Gustafson DH
    J Med Internet Res; 2018 Jun; 20(6):e10136. PubMed ID: 29895517
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Psychological Well-Being of Left-Behind Children in China: Text Mining of the Social Media Website Zhihu.
    Lyu Y; Chow JC; Hwang JJ; Li Z; Ren C; Xie J
    Int J Environ Res Public Health; 2022 Feb; 19(4):. PubMed ID: 35206315
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Evaluating the Validity of Simplified Chinese Version of LIWC in Detecting Psychological Expressions in Short Texts on Social Network Services.
    Zhao N; Jiao D; Bai S; Zhu T
    PLoS One; 2016; 11(6):e0157947. PubMed ID: 27322382
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Analyzing Empowerment Processes Among Cancer Patients in an Online Community: A Text Mining Approach.
    Verberne S; Batenburg A; Sanders R; van Eenbergen M; Das E; Lambooij MS
    JMIR Cancer; 2019 Apr; 5(1):e9887. PubMed ID: 30994468
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Detecting depression stigma on social media: A linguistic analysis.
    Li A; Jiao D; Zhu T
    J Affect Disord; 2018 May; 232():358-362. PubMed ID: 29510353
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A Linguistic Analysis of Suicide-Related Twitter Posts.
    O'Dea B; Larsen ME; Batterham PJ; Calear AL; Christensen H
    Crisis; 2017 Sep; 38(5):319-329. PubMed ID: 28228065
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Mind the gap: Exploring differences in suicide literacy between cybersuicide and offline suicide.
    Li A; Jiao D
    Front Public Health; 2022; 10():1061590. PubMed ID: 36726611
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Studying expressions of loneliness in individuals using twitter: an observational study.
    Guntuku SC; Schneider R; Pelullo A; Young J; Wong V; Ungar L; Polsky D; Volpp KG; Merchant R
    BMJ Open; 2019 Nov; 9(11):e030355. PubMed ID: 31685502
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.