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.
131 related articles for article (PubMed ID: 34844618)
1. Digital conversations about depression among Hispanics and non-Hispanics in the US: a big-data, machine learning analysis identifies specific characteristics of depression narratives in Hispanics. Castilla-Puentes R; Dagar A; Villanueva D; Jimenez-Parrado L; Valleta LG; Falcone T Ann Gen Psychiatry; 2021 Nov; 20(1):50. PubMed ID: 34844618 [TBL] [Abstract][Full Text] [Related]
2. Digital conversations about suicide among teenagers and adults with epilepsy: A big-data, machine learning analysis. Falcone T; Dagar A; Castilla-Puentes RC; Anand A; Brethenoux C; Valleta LG; Furey P; Timmons-Mitchell J; Pestana-Knight E Epilepsia; 2020 May; 61(5):951-958. PubMed ID: 32383797 [TBL] [Abstract][Full Text] [Related]
3. Applying the Health Belief Model to Characterize Racial/Ethnic Differences in Digital Conversations Related to Depression Pre- and Mid-COVID-19: Descriptive Analysis. Castilla-Puentes R; Pesa J; Brethenoux C; Furey P; Gil Valletta L; Falcone T JMIR Form Res; 2022 Jun; 6(6):e33637. PubMed ID: 35275834 [TBL] [Abstract][Full Text] [Related]
4. Patient perceptions of disease burden and treatment of myasthenia gravis based on sentiment analysis of digital conversations. Anderson A; Pesa J; Choudhry Z; Brethenoux C; Furey P; Jackson L; Valleta LG; Quijano LG; Lorenzo A Sci Rep; 2024 Mar; 14(1):7271. PubMed ID: 38538905 [TBL] [Abstract][Full Text] [Related]
5. Analysis of Population Differences in Digital Conversations About Cancer Clinical Trials: Advanced Data Mining and Extraction Study. Perez EA; Jaffee EM; Whyte J; Boyce CA; Carpten JD; Lozano G; Williams RM; Winkfield KM; Bernstein D; Poblete S JMIR Cancer; 2021 Sep; 7(3):e25621. PubMed ID: 34554099 [TBL] [Abstract][Full Text] [Related]
6. Machine Learning to Detect Self-Reporting of Symptoms, Testing Access, and Recovery Associated With COVID-19 on Twitter: Retrospective Big Data Infoveillance Study. Mackey T; Purushothaman V; Li J; Shah N; Nali M; Bardier C; Liang B; Cai M; Cuomo R JMIR Public Health Surveill; 2020 Jun; 6(2):e19509. PubMed ID: 32490846 [TBL] [Abstract][Full Text] [Related]
7. 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]
8. Detecting changes in attitudes toward depression on Chinese social media: A text analysis. Yu L; Jiang W; Ren Z; Xu S; Zhang L; Hu X J Affect Disord; 2021 Feb; 280(Pt A):354-363. PubMed ID: 33221722 [TBL] [Abstract][Full Text] [Related]
9. The effectiveness of internet-based e-learning on clinician behavior and patient outcomes: a systematic review protocol. Sinclair P; Kable A; Levett-Jones T JBI Database System Rev Implement Rep; 2015 Jan; 13(1):52-64. PubMed ID: 26447007 [TBL] [Abstract][Full Text] [Related]
10. Sources of sexual information and sexual attitudes and behaviors of Anglo and Hispanic adolescent males. Moran JR; Corley MD Adolescence; 1991; 26(104):857-64. PubMed ID: 1789173 [TBL] [Abstract][Full Text] [Related]
11. Emotions of COVID-19: Content Analysis of Self-Reported Information Using Artificial Intelligence. Adikari A; Nawaratne R; De Silva D; Ranasinghe S; Alahakoon O; Alahakoon D J Med Internet Res; 2021 Apr; 23(4):e27341. PubMed ID: 33819167 [TBL] [Abstract][Full Text] [Related]
12. The basics of data, big data, and machine learning in clinical practice. Soriano-Valdez D; Pelaez-Ballestas I; Manrique de Lara A; Gastelum-Strozzi A Clin Rheumatol; 2021 Jan; 40(1):11-23. PubMed ID: 32504192 [TBL] [Abstract][Full Text] [Related]
13. Hispanics' use of Internet health information: an exploratory study. Peña-Purcell N J Med Libr Assoc; 2008 Apr; 96(2):101-7. PubMed ID: 18379664 [TBL] [Abstract][Full Text] [Related]
14. Challenges of developing a digital scribe to reduce clinical documentation burden. Quiroz JC; Laranjo L; Kocaballi AB; Berkovsky S; Rezazadegan D; Coiera E NPJ Digit Med; 2019; 2():114. PubMed ID: 31799422 [TBL] [Abstract][Full Text] [Related]
15. HIV Care Outcomes among Hispanics/Latinos with Diagnosed HIV in the United States by Place of Birth-2015-2018, Medical Monitoring Project. Demeke HB; Luo Q; Luna-Gierke RE; Padilla M; Girona-Lozada G; Miranda-De León S; Weiser J; Beer L Int J Environ Res Public Health; 2019 Dec; 17(1):. PubMed ID: 31881732 [TBL] [Abstract][Full Text] [Related]
16. Categorizing Vaccine Confidence With a Transformer-Based Machine Learning Model: Analysis of Nuances of Vaccine Sentiment in Twitter Discourse. Kummervold PE; Martin S; Dada S; Kilich E; Denny C; Paterson P; Larson HJ JMIR Med Inform; 2021 Oct; 9(10):e29584. PubMed ID: 34623312 [TBL] [Abstract][Full Text] [Related]
17. Use of Big Data and Machine Learning Methods in the Monitoring and Evaluation of Digital Health Programs in India: An Exploratory Protocol. Mohan D; Bashingwa JJH; Dane P; Chamberlain S; Tiffin N; Lefevre A JMIR Res Protoc; 2019 May; 8(5):e11456. PubMed ID: 31127716 [TBL] [Abstract][Full Text] [Related]
18. An Empathy-Driven, Conversational Artificial Intelligence Agent (Wysa) for Digital Mental Well-Being: Real-World Data Evaluation Mixed-Methods Study. Inkster B; Sarda S; Subramanian V JMIR Mhealth Uhealth; 2018 Nov; 6(11):e12106. PubMed ID: 30470676 [TBL] [Abstract][Full Text] [Related]
19. 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]
20. Learning from social media: utilizing advanced data extraction techniques to understand barriers to breast cancer treatment. Freedman RA; Viswanath K; Vaz-Luis I; Keating NL Breast Cancer Res Treat; 2016 Jul; 158(2):395-405. PubMed ID: 27339067 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]