198 related articles for article (PubMed ID: 33245287)
1. Detection of Suicidality Among Opioid Users on Reddit: Machine Learning-Based Approach.
Yao H; Rashidian S; Dong X; Duanmu H; Rosenthal RN; Wang F
J Med Internet Res; 2020 Nov; 22(11):e15293. PubMed ID: 33245287
[TBL] [Abstract][Full Text] [Related]
2. Predicting Age Groups of Reddit Users Based on Posting Behavior and Metadata: Classification Model Development and Validation.
Chew R; Kery C; Baum L; Bukowski T; Kim A; Navarro M
JMIR Public Health Surveill; 2021 Mar; 7(3):e25807. PubMed ID: 33724195
[TBL] [Abstract][Full Text] [Related]
3. User Dynamics and Thematic Exploration in r/Depression During the COVID-19 Pandemic: Insights From Overlapping r/SuicideWatch Users.
Zhu J; Jin R; Kenne DR; Phan N; Ku WS
J Med Internet Res; 2024 May; 26():e53968. PubMed ID: 38767953
[TBL] [Abstract][Full Text] [Related]
4. Natural Language Processing Reveals Vulnerable Mental Health Support Groups and Heightened Health Anxiety on Reddit During COVID-19: Observational Study.
Low DM; Rumker L; Talkar T; Torous J; Cecchi G; Ghosh SS
J Med Internet Res; 2020 Oct; 22(10):e22635. PubMed ID: 32936777
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. Detecting Potentially Harmful and Protective Suicide-Related Content on Twitter: Machine Learning Approach.
Metzler H; Baginski H; Niederkrotenthaler T; Garcia D
J Med Internet Res; 2022 Aug; 24(8):e34705. PubMed ID: 35976193
[TBL] [Abstract][Full Text] [Related]
7. Leveraging Reddit for Suicidal Ideation Detection: A Review of Machine Learning and Natural Language Processing Techniques.
Yeskuatov E; Chua SL; Foo LK
Int J Environ Res Public Health; 2022 Aug; 19(16):. PubMed ID: 36011981
[TBL] [Abstract][Full Text] [Related]
8. Detecting Suicidal Ideation on Forums: Proof-of-Concept Study.
Aladağ AE; Muderrisoglu S; Akbas NB; Zahmacioglu O; Bingol HO
J Med Internet Res; 2018 Jun; 20(6):e215. PubMed ID: 29929945
[TBL] [Abstract][Full Text] [Related]
9. Using Large Language Models to Understand Suicidality in a Social Media-Based Taxonomy of Mental Health Disorders: Linguistic Analysis of Reddit Posts.
Bauer B; Norel R; Leow A; Rached ZA; Wen B; Cecchi G
JMIR Ment Health; 2024 May; 11():e57234. PubMed ID: 38771256
[TBL] [Abstract][Full Text] [Related]
10. Characterizing and Identifying the Prevalence of Web-Based Misinformation Relating to Medication for Opioid Use Disorder: Machine Learning Approach.
ElSherief M; Sumner SA; Jones CM; Law RK; Kacha-Ochana A; Shieber L; Cordier L; Holton K; De Choudhury M
J Med Internet Res; 2021 Dec; 23(12):e30753. PubMed ID: 34941555
[TBL] [Abstract][Full Text] [Related]
11. Characterizing Social Media Messages Related to Underage JUUL E-Cigarette Buying and Selling: Cross-Sectional Analysis of Reddit Subreddits.
Liu H; Li Q; Zhan Y; Zhang Z; Zeng DD; Leischow SJ
J Med Internet Res; 2020 Jul; 22(7):e16962. PubMed ID: 32706661
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. A Machine Learning Approach for the Detection and Characterization of Illicit Drug Dealers on Instagram: Model Evaluation Study.
Li J; Xu Q; Shah N; Mackey TK
J Med Internet Res; 2019 Jun; 21(6):e13803. PubMed ID: 31199298
[TBL] [Abstract][Full Text] [Related]
14. Understanding Mental Health Issues in Different Subdomains of Social Networking Services: Computational Analysis of Text-Based Reddit Posts.
Kim S; Cha J; Kim D; Park E
J Med Internet Res; 2023 Nov; 25():e49074. PubMed ID: 38032730
[TBL] [Abstract][Full Text] [Related]
15. Detecting and Analyzing Suicidal Ideation on Social Media Using Deep Learning and Machine Learning Models.
Aldhyani THH; Alsubari SN; Alshebami AS; Alkahtani H; Ahmed ZAT
Int J Environ Res Public Health; 2022 Oct; 19(19):. PubMed ID: 36231935
[TBL] [Abstract][Full Text] [Related]
16. Detection of Suicidal Ideation on Social Media: Multimodal, Relational, and Behavioral Analysis.
Ramírez-Cifuentes D; Freire A; Baeza-Yates R; Puntí J; Medina-Bravo P; Velazquez DA; Gonfaus JM; Gonzàlez J
J Med Internet Res; 2020 Jul; 22(7):e17758. PubMed ID: 32673256
[TBL] [Abstract][Full Text] [Related]
17. Suicidality Detection on Social Media Using Metadata and Text Feature Extraction and Machine Learning.
Jung W; Kim D; Nam S; Zhu Y
Arch Suicide Res; 2023; 27(1):13-28. PubMed ID: 34319221
[TBL] [Abstract][Full Text] [Related]
18. Analyzing Reddit Forums Specific to Abortion That Yield Diverse Dialogues Pertaining to Medical Information Seeking and Personal Worldviews: Data Mining and Natural Language Processing Comparative Study.
Valdez D; Mena-Meléndez L; Crawford BL; Jozkowski KN
J Med Internet Res; 2024 Feb; 26():e47408. PubMed ID: 38354044
[TBL] [Abstract][Full Text] [Related]
19. Links between suicidal intent, polysubstance use, and medical treatment after non-fatal opioid overdose.
Gicquelais RE; Jannausch M; Bohnert ASB; Thomas L; Sen S; Fernandez AC
Drug Alcohol Depend; 2020 Jul; 212():108041. PubMed ID: 32470753
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]
