Electronic patient-reported outcomes and machine learning in predicting immune-related adverse events of immune checkpoint inhibitor therapies

BACKGROUND: Immune-checkpoint inhibitors (ICIs) have introduced novel immune-related adverse events (irAEs), arising from various organ systems without strong timely dependency on therapy dosing. Early detection of irAEs could result in improved toxicity profile and quality of life. Symptom data col...

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Detalles Bibliográficos
Autores principales: Iivanainen, Sanna, Ekstrom, Jussi, Virtanen, Henri, Kataja, Vesa V., Koivunen, Jussi P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8243435/
https://www.ncbi.nlm.nih.gov/pubmed/34193140
http://dx.doi.org/10.1186/s12911-021-01564-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8243435/
https://www.ncbi.nlm.nih.gov/pubmed/34193140
http://dx.doi.org/10.1186/s12911-021-01564-0

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