Tracking of Systemic Lupus Erythematosus (SLE) Longitudinally Using Biosensor and Patient-Reported Data: A Report on the Fully Decentralized Mobile Study to Measure and Predict Lupus Disease Activity Using Digital Signals—The OASIS Study

(1) Objective: Systemic lupus erythematosus (SLE) is a complex disease involving immune dysregulation, episodic flares, and poor quality of life (QOL). For a decentralized digital study of SLE patients, machine learning was used to assess patient-reported outcomes (PROs), QOL, and biometric data for...

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Detalles Bibliográficos
Autores principales: Jupe, Eldon R., Lushington, Gerald H., Purushothaman, Mohan, Pautasso, Fabricio, Armstrong, Georg, Sorathia, Arif, Crawley, Jessica, Nadipelli, Vijay R., Rubin, Bernard, Newhardt, Ryan, Munroe, Melissa E., Adelman, Brett
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10660535/
https://www.ncbi.nlm.nih.gov/pubmed/37987479
http://dx.doi.org/10.3390/biotech12040062

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10660535/
https://www.ncbi.nlm.nih.gov/pubmed/37987479
http://dx.doi.org/10.3390/biotech12040062

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