Literature DB >> 34481080

Social media mining in drug development-Fundamentals and use cases.

Jonathan Koss1, Astrid Rheinlaender2, Hubert Truebel3, Sabine Bohnet-Joschko4.   

Abstract

The incorporation of patients' perspectives into drug discovery and development has become critically important from the viewpoint of accounting for modern-day business dynamics. There is a trend among patients to narrate their disease experiences on social media. The insights gained by analyzing the data pertaining to such social-media posts could be leveraged to support patient-centered drug development. Manual analysis of these data is nearly impossible, but artificial intelligence enables automated and cost-effective processing, also referred as social media mining (SMM). This paper discusses the fundamental SMM methods along with several relevant drug-development use cases.
Copyright © 2021 The Authors. Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  Innovation; Machine learning; Patient-centered drug development, digital phenotype; Research and development; Social media mining

Mesh:

Year:  2021        PMID: 34481080     DOI: 10.1016/j.drudis.2021.08.012

Source DB:  PubMed          Journal:  Drug Discov Today        ISSN: 1359-6446            Impact factor:   7.851


  1 in total

1.  Social Media Mining of Long-COVID Self-Medication Reported by Reddit Users: Feasibility Study to Support Drug Repurposing.

Authors:  Jonathan Koss; Sabine Bohnet-Joschko
Journal:  JMIR Form Res       Date:  2022-10-03
  1 in total

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