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.
341 related articles for article (PubMed ID: 35862172)
1. Classification of Twitter Vaping Discourse Using BERTweet: Comparative Deep Learning Study. Baker W; Colditz JB; Dobbs PD; Mai H; Visweswaran S; Zhan J; Primack BA JMIR Med Inform; 2022 Jul; 10(7):e33678. PubMed ID: 35862172 [TBL] [Abstract][Full Text] [Related]
2. Machine Learning Classifiers for Twitter Surveillance of Vaping: Comparative Machine Learning Study. Visweswaran S; Colditz JB; O'Halloran P; Han NR; Taneja SB; Welling J; Chu KH; Sidani JE; Primack BA J Med Internet Res; 2020 Aug; 22(8):e17478. PubMed ID: 32784184 [TBL] [Abstract][Full Text] [Related]
3. Identifying Potential Lyme Disease Cases Using Self-Reported Worldwide Tweets: Deep Learning Modeling Approach Enhanced With Sentimental Words Through Emojis. Laison EKE; Hamza Ibrahim M; Boligarla S; Li J; Mahadevan R; Ng A; Muthuramalingam V; Lee WY; Yin Y; Nasri BR J Med Internet Res; 2023 Oct; 25():e47014. PubMed ID: 37843893 [TBL] [Abstract][Full Text] [Related]
4. Comparison of pretrained transformer-based models for influenza and COVID-19 detection using social media text data in Saskatchewan, Canada. Tian Y; Zhang W; Duan L; McDonald W; Osgood N Front Digit Health; 2023; 5():1203874. PubMed ID: 37448834 [TBL] [Abstract][Full Text] [Related]
5. Assessing Electronic Cigarette-Related Tweets for Sentiment and Content Using Supervised Machine Learning. Cole-Lewis H; Varghese A; Sanders A; Schwarz M; Pugatch J; Augustson E J Med Internet Res; 2015 Aug; 17(8):e208. PubMed ID: 26307512 [TBL] [Abstract][Full Text] [Related]
6. "When 'Bad' is 'Good'": Identifying Personal Communication and Sentiment in Drug-Related Tweets. Daniulaityte R; Chen L; Lamy FR; Carlson RG; Thirunarayan K; Sheth A JMIR Public Health Surveill; 2016 Oct; 2(2):e162. PubMed ID: 27777215 [TBL] [Abstract][Full Text] [Related]
8. Automated Detection of Vaping-Related Tweets on Twitter During the 2019 EVALI Outbreak Using Machine Learning Classification. Ren Y; Wu D; Singh A; Kasson E; Huang M; Cavazos-Rehg P Front Big Data; 2022; 5():770585. PubMed ID: 35224484 [TBL] [Abstract][Full Text] [Related]
9. 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]
10. Using #ActuallyAutistic on Twitter for Precision Diagnosis of Autism Spectrum Disorder: Machine Learning Study. Jaiswal A; Washington P JMIR Form Res; 2024 Feb; 8():e52660. PubMed ID: 38354045 [TBL] [Abstract][Full Text] [Related]
11. Pretrained Transformer Language Models Versus Pretrained Word Embeddings for the Detection of Accurate Health Information on Arabic Social Media: Comparative Study. Albalawi Y; Nikolov NS; Buckley J JMIR Form Res; 2022 Jun; 6(6):e34834. PubMed ID: 35767322 [TBL] [Abstract][Full Text] [Related]
12. Digital Epidemiology of Prescription Drug References on X (Formerly Twitter): Neural Network Topic Modeling and Sentiment Analysis. Rao VK; Valdez D; Muralidharan R; Agley J; Eddens KS; Dendukuri A; Panth V; Parker MA J Med Internet Res; 2024 Aug; 26():e57885. PubMed ID: 39178036 [TBL] [Abstract][Full Text] [Related]
13. Developing an Automatic System for Classifying Chatter About Health Services on Twitter: Case Study for Medicaid. Yang YC; Al-Garadi MA; Bremer W; Zhu JM; Grande D; Sarker A J Med Internet Res; 2021 May; 23(5):e26616. PubMed ID: 33938807 [TBL] [Abstract][Full Text] [Related]
14. Leveraging machine learning approaches for predicting potential Lyme disease cases and incidence rates in the United States using Twitter. Boligarla S; Laison EKE; Li J; Mahadevan R; Ng A; Lin Y; Thioub MY; Huang B; Ibrahim MH; Nasri B BMC Med Inform Decis Mak; 2023 Oct; 23(1):217. PubMed ID: 37845666 [TBL] [Abstract][Full Text] [Related]
15. Using twitter to examine smoking behavior and perceptions of emerging tobacco products. Myslín M; Zhu SH; Chapman W; Conway M J Med Internet Res; 2013 Aug; 15(8):e174. PubMed ID: 23989137 [TBL] [Abstract][Full Text] [Related]
16. E-Cigarette Advocates on Twitter: Content Analysis of Vaping-Related Tweets. McCausland K; Maycock B; Leaver T; Wolf K; Freeman B; Jancey J JMIR Public Health Surveill; 2020 Oct; 6(4):e17543. PubMed ID: 33052130 [TBL] [Abstract][Full Text] [Related]
17. Applying Multiple Data Collection Tools to Quantify Human Papillomavirus Vaccine Communication on Twitter. Massey PM; Leader A; Yom-Tov E; Budenz A; Fisher K; Klassen AC J Med Internet Res; 2016 Dec; 18(12):e318. PubMed ID: 27919863 [TBL] [Abstract][Full Text] [Related]
18. COVID-19 Related Sentiment Analysis Using State-of-the-Art Machine Learning and Deep Learning Techniques. Jalil Z; Abbasi A; Javed AR; Badruddin Khan M; Abul Hasanat MH; Malik KM; Saudagar AKJ Front Public Health; 2021; 9():812735. PubMed ID: 35096755 [TBL] [Abstract][Full Text] [Related]
19. Public Reactions to the New York State Policy on Flavored Electronic Cigarettes on Twitter: Observational Study. Sun L; Lu X; Xie Z; Li D JMIR Public Health Surveill; 2022 Feb; 8(2):e25216. PubMed ID: 35113035 [TBL] [Abstract][Full Text] [Related]
20. Social Media Monitoring of the COVID-19 Pandemic and Influenza Epidemic With Adaptation for Informal Language in Arabic Twitter Data: Qualitative Study. Alsudias L; Rayson P JMIR Med Inform; 2021 Sep; 9(9):e27670. PubMed ID: 34346892 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]