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

Infodemiology and Infoveillance (1349) Natural Language Processing (692) Adverse Drug Events Detection, Pharmacovigilance and Surveillance (156) Physician and Health Services Rating by Consumers (128) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1041) Pharmacovigilance (134)

Published on in Vol 20, No 10 (2018): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/11085, first published .
Identification of Primary Medication Concerns Regarding Thyroid Hormone Replacement Therapy From Online Patient Medication Reviews: Text Mining of Social Network Data

Identification of Primary Medication Concerns Regarding Thyroid Hormone Replacement Therapy From Online Patient Medication Reviews: Text Mining of Social Network Data

Identification of Primary Medication Concerns Regarding Thyroid Hormone Replacement Therapy From Online Patient Medication Reviews: Text Mining of Social Network Data

Authors of this article:

So Hyun Park1, 2 Author Orcid Image ;   Song Hee Hong1 Author Orcid Image
Article Authors Cited by (13) Tweetations (4) Metrics

Journals

  1. Li X, Lin X, Ren H, Guo J. Ontological Organization and Bioinformatic Analysis of Adverse Drug Reactions From Package Inserts: Development and Usability Study. Journal of Medical Internet Research 2020;22(7):e20443 View
  2. Mavragani A, Ochoa G. Google Trends in Infodemiology and Infoveillance: Methodology Framework. JMIR Public Health and Surveillance 2019;5(2):e13439 View
  3. Xu C, Wang Y, Yang H, Hou J, Sun L, Zhang X, Cao X, Hou Y, Wang L, Cai Q, Wang Y. Association Between Cancer Incidence and Mortality in Web-Based Data in China: Infodemiology Study. Journal of Medical Internet Research 2019;21(1):e10677 View
  4. Yildirim P, Kaya A. Clustering of Phentermine HCL Drug from Online Patient Medication Reviews. Procedia Computer Science 2019;151:1146 View
  5. Audeh B, Bellet F, Beyens M, Lillo-Le Louët A, Bousquet C. Use of Social Media for Pharmacovigilance Activities: Key Findings and Recommendations from the Vigi4Med Project. Drug Safety 2020;43(9):835 View
  6. Park S, Suh Y, Kim J, Kwon J. Analysis for internet health counseling about precocious puberty using text mining and topic modeling. Korean Journal of Health Education and Promotion 2020;37(3):71 View
  7. Perros P, Hegedus L. Enhanced Well-Being Associated with Thyrotoxicosis: A Neglected Effect of Thyroid Hormones?. International Journal of Endocrinology and Metabolism 2022;20(2) View
  8. Feng Y, Yin Y, Wang D, Dhamotharan L, Ignatius J, Kumar A. Diabetic patient review helpfulness: unpacking online drug treatment reviews by text analytics and design science approach. Annals of Operations Research 2023;328(1):387 View
  9. Kim M, Noh Y, Yamada A, Hong S. Comparison of the Erectile Dysfunction Drugs Sildenafil and Tadalafil Using Patient Medication Reviews: Topic Modeling Study. JMIR Medical Informatics 2022;10(2):e32689 View
  10. Roche V, Robert J, Salam H. A holistic AI-based approach for pharmacovigilance optimization from patients behavior on social media. Artificial Intelligence in Medicine 2023;144:102638 View
  11. Loor-Torres R, Duran M, Toro-Tobon D, Mateo Chavez M, Ponce O, Soto Jacome C, Segura Torres D, Algarin Perneth S, Montori V, Golembiewski E, Borras Osorio M, Fan J, Singh Ospina N, Wu Y, Brito J. A Systematic Review of Natural Language Processing Methods and Applications in Thyroidology. Mayo Clinic Proceedings: Digital Health 2024;2(2):270 View
  12. Kim N, Lee N. Structural Topic Modeling Analysis of Patient Safety Interest among Health Consumers in Social Media. Journal of Korean Academy of Nursing 2024;54(2):266 View

Books/Policy Documents

  1. Saxon D. Management of Patients with Pseudo-Endocrine Disorders. View