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Social media mining in drug development-Fundamentals and use cases.
Koss, Jonathan; Rheinlaender, Astrid; Truebel, Hubert; Bohnet-Joschko, Sabine.
Afiliación
  • Koss J; Witten/Herdecke University, Witten, Germany. Electronic address: jonathan.koss@uni-wh.de.
  • Rheinlaender A; R&D Digital Technologies, Bayer AG, Leverkusen, Germany.
  • Truebel H; Witten/Herdecke University, Witten, Germany; AiCuris AG, Wuppertal, Germany.
  • Bohnet-Joschko S; Witten/Herdecke University, Witten, Germany.
Drug Discov Today ; 26(12): 2871-2880, 2021 12.
Article en En | MEDLINE | ID: mdl-34481080
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.
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Minería de Datos / Medios de Comunicación Sociales / Desarrollo de Medicamentos Límite: Humans Idioma: En Revista: Drug Discov Today Asunto de la revista: FARMACOLOGIA / TERAPIA POR MEDICAMENTOS Año: 2021 Tipo del documento: Article

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Minería de Datos / Medios de Comunicación Sociales / Desarrollo de Medicamentos Límite: Humans Idioma: En Revista: Drug Discov Today Asunto de la revista: FARMACOLOGIA / TERAPIA POR MEDICAMENTOS Año: 2021 Tipo del documento: Article