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

Patient-Reported Outcome Measures (PROMs) (207) Infodemiology and Infoveillance (855) Peer-to-Peer Support and Online Communities (423) Natural Language Processing (412) Adverse Drug Events Detection, Pharmacovigilance and Surveillance (79) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (681) Pharmacovigilance (70)

Published on in Vol 21, No 11 (2019): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/14809, first published .
Patient-Reported Outcomes in Online Communications on Statins, Memory, and Cognition: Qualitative Analysis Using Online Communities

Patient-Reported Outcomes in Online Communications on Statins, Memory, and Cognition: Qualitative Analysis Using Online Communities

Patient-Reported Outcomes in Online Communications on Statins, Memory, and Cognition: Qualitative Analysis Using Online Communities

Authors of this article:

Farris Timimi 1 Author Orcid Image ;   Sara Ray 2 Author Orcid Image ;   Erik Jones 2 Author Orcid Image ;   Lee Aase 1 Author Orcid Image ;   Kathleen Hoffman 2 Author Orcid Image
Article Authors Cited by (2) Tweetations (15) Metrics

Journals

  1. Chen X, Xie H, Cheng G, Poon L, Leng M, Wang F. Trends and Features of the Applications of Natural Language Processing Techniques for Clinical Trials Text Analysis. Applied Sciences 2020;10(6):2157 View
  2. Matsuda S, Ohtomo T, Tomizawa S, Miyano Y, Mogi M, Kuriki H, Nakayama T, Watanabe S. Incorporating Unstructured Patient Narratives and Health Insurance Claims Data in Pharmacovigilance: Natural Language Processing Analysis of Patient-Generated Texts About Systemic Lupus Erythematosus. JMIR Public Health and Surveillance 2021;7(6):e29238 View