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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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| Publicado no: | BMC Med Inform Decis Mak |
|---|---|
| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8243435/ https://ncbi.nlm.nih.gov/pubmed/34193140 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12911-021-01564-0 |
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