This paper is in the following e-collection/theme issue:

Depression and Mood Disorders; Suicide Prevention (1283) Pharmacovigilance (128) Infodemiology and Infoveillance (1275) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1013)

Published on in Vol 8, No 3 (2021): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/26589, first published .
Understanding Side Effects of Antidepressants: Large-scale Longitudinal Study on Social Media Data

Understanding Side Effects of Antidepressants: Large-scale Longitudinal Study on Social Media Data

Understanding Side Effects of Antidepressants: Large-scale Longitudinal Study on Social Media Data

Authors of this article:

Koustuv Saha1 Author Orcid Image ;   John Torous2 Author Orcid Image ;   Emre Kiciman3 Author Orcid Image ;   Munmun De Choudhury1 Author Orcid Image
Article Authors Cited by (19) Tweetations (4) Metrics

Journals

  1. Alvarez-Mon M, de Anta L, Llavero-Valero M, Lahera G, Ortega M, Soutullo C, Quintero J, Asunsolo del Barco A, Alvarez-Mon M. Areas of Interest and Attitudes towards the Pharmacological Treatment of Attention Deficit Hyperactivity Disorder: Thematic and Quantitative Analysis Using Twitter. Journal of Clinical Medicine 2021;10(12):2668 View
  2. Zhao L, Li D, Chitrakar B, Li C, Zhang N, Zhang S, Wang X, Wang M, Tian H, Luo Y. Study onLactiplantibacillus plantarumR6-3 from Sayram Ketteki to prevent chronic unpredictable mild stress-induced depression in mice through the microbiota–gut–brain axis. Food & Function 2023;14(7):3304 View
  3. Rodríguez-Landa J, Scuteri D, Martínez-Mota L. Editorial: Plant secondary metabolites: Potential therapeutic implications in neuropsychiatric disorders. Frontiers in Behavioral Neuroscience 2023;17 View
  4. de Anta L, Alvarez-Mon M, Ortega M, Salazar C, Donat-Vargas C, Santoma-Vilaclara J, Martin-Martinez M, Lahera G, Gutierrez-Rojas L, Rodriguez-Jimenez R, Quintero J, Alvarez-Mon M. Areas of Interest and Social Consideration of Antidepressants on English Tweets: A Natural Language Processing Classification Study. Journal of Personalized Medicine 2022;12(2):155 View
  5. Adler D, Tseng E, Moon K, Young J, Kane J, Moss E, Mohr D, Choudhury T. Burnout and the Quantified Workplace: Tensions around Personal Sensing Interventions for Stress in Resident Physicians. Proceedings of the ACM on Human-Computer Interaction 2022;6(CSCW2):1 View
  6. Lorenzo-Luaces L, Dierckman C, Adams S. Attitudes and (Mis)information About Cognitive Behavioral Therapy on TikTok: An Analysis of Video Content. Journal of Medical Internet Research 2023;25:e45571 View
  7. Adler D, Wang F, Mohr D, Estrin D, Livesey C, Choudhury T. A call for open data to develop mental health digital biomarkers. BJPsych Open 2022;8(2) View
  8. Mayor E, Bietti L, Canales-Rodríguez E. Text as signal. A tutorial with case studies focusing on social media (Twitter). Behavior Research Methods 2022;55(5):2595 View
  9. Clemens K, Faasse K, Tan W, Colagiuri B, Colloca L, Webster R, Vase L, Jason E, Geers A. Social communication pathways to COVID-19 vaccine side-effect expectations and experience. Journal of Psychosomatic Research 2023;164:111081 View
  10. Alvarez-Mon M, Fernandez-Lazaro C, Ortega M, Vidal C, Molina-Ruiz R, Alvarez-Mon M, Martínez-González M. Analyzing Psychotherapy on Twitter: An 11-Year Analysis of Tweets From Major U.S. Media Outlets. Frontiers in Psychiatry 2022;13 View
  11. Forman-Hoffman V, Kvedar J, Ranta K. Potential Benefits of Remote Continuous Care for Depression. International Journal of Digital Health 2021;1(1):15 View
  12. Khalid K, Ang W, Mohd. Nazli A, Jamaluddin R, Rizvi S. Predictors of Treatment Response in Patients with Treatment-Resistant Depression: Outcomes of a Randomized Trial. Psychiatry International 2023;4(3):246 View
  13. Khalifah W, Abu-Yusef M, Abed-Elhadi A, Barq A, Yassen M, Hanani A, Abu Hassan A, Abuawad M, Damiri B. Exams-related stress and the pattern of substance use and misuse among Palestinian medical and health sciences students. Discover Psychology 2023;3(1) View
  14. Agbo C, Chima U, Nwachuya C, Enang N, Okoye C, Mbaji S, Uzokwe N, Ngige A, Iwuchukwu O, Okoloekwe A. The psychological impact of non-responsiveness to antidepressants on patients with depression and the role of pharmacogenomics-based drug therapy. American Journal of Pharmacotherapy and Pharmaceutical Sciences 2023;2:14 View
  15. Carabot F, Donat-Vargas C, Santoma-Vilaclara J, Ortega M, García-Montero C, Fraile-Martínez O, Zaragoza C, Monserrat J, Alvarez-Mon M, Alvarez-Mon M. Exploring Perceptions About Paracetamol, Tramadol, and Codeine on Twitter Using Machine Learning: Quantitative and Qualitative Observational Study. Journal of Medical Internet Research 2023;25:e45660 View
  16. Purebl G, Schnitzspahn K, Zsák É. Overcoming treatment gaps in the management of depression with non-pharmacological adjunctive strategies. Frontiers in Psychiatry 2023;14 View
  17. Yuan Y, Kasson E, Taylor J, Cavazos-Rehg P, De Choudhury M, Aledavood T. Examining the Gateway Hypothesis and Mapping Substance Use Pathways on Social Media: Machine Learning Approach. JMIR Formative Research 2024;8:e54433 View
  18. Mangalik S, Eichstaedt J, Giorgi S, Mun J, Ahmed F, Gill G, V. Ganesan A, Subrahmanya S, Soni N, Clouston S, Schwartz H. Robust language-based mental health assessments in time and space through social media. npj Digital Medicine 2024;7(1) View
  19. Tomczak T, Rogalski J. Risk factors of the depressive and anxiety disorders development among patients with Adolescent Idiopathic Scoliosis and possible therapeutic interventions. Current Problems of Psychiatry 2024;25:92 View