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

Pharmacovigilance (92) Adverse Drug Events Detection, Pharmacovigilance and Surveillance (102) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (922) Infodemiology and Infoveillance (1125) Natural Language Processing (535) Mass Media/Social Media Communication and Campaigns (406)

Published on in Vol 7 , No 6 (2021) :June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/29238, first published .
Incorporating Unstructured Patient Narratives and Health Insurance Claims Data in Pharmacovigilance: Natural Language Processing Analysis of Patient-Generated Texts About Systemic Lupus Erythematosus

Incorporating Unstructured Patient Narratives and Health Insurance Claims Data in Pharmacovigilance: Natural Language Processing Analysis of Patient-Generated Texts About Systemic Lupus Erythematosus

Incorporating Unstructured Patient Narratives and Health Insurance Claims Data in Pharmacovigilance: Natural Language Processing Analysis of Patient-Generated Texts About Systemic Lupus Erythematosus

Authors of this article:

Shinichi Matsuda 1 Author Orcid Image ;   Takumi Ohtomo 1 Author Orcid Image ;   Shiho Tomizawa 2 Author Orcid Image ;   Yuki Miyano 1 Author Orcid Image ;   Miwako Mogi 3 Author Orcid Image ;   Hiroshi Kuriki 4 Author Orcid Image ;   Terumi Nakayama 1 Author Orcid Image ;   Shinichi Watanabe 1 Author Orcid Image
Article Authors Cited by (1) Tweetations (7) Metrics

Journals

  1. Wood T, McNair D. Clinical Trial Risk Tool: software application using natural language processing to identify the risk of trial uninformativeness. Gates Open Research 2023;7:56 View