Improved risk prediction of chemotherapy‐induced neutropenia—model development and validation with real‐world data

BACKGROUND: The existing risk prediction models for chemotherapy‐induced febrile neutropenia (FN) do not necessarily apply to real‐life patients in different healthcare systems and the external validation of these models are often lacking. Our study evaluates whether a machine learning‐based risk pr...

Descripción completa

Detalles Bibliográficos
Autores principales: Venäläinen, Mikko S., Heervä, Eetu, Hirvonen, Outi, Saraei, Sohrab, Suomi, Tomi, Mikkola, Toni, Bärlund, Maarit, Jyrkkiö, Sirkku, Laitinen, Tarja, Elo, Laura L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Clinical Cancer Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8817096/
https://www.ncbi.nlm.nih.gov/pubmed/34859963
http://dx.doi.org/10.1002/cam4.4465

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8817096/
https://www.ncbi.nlm.nih.gov/pubmed/34859963
http://dx.doi.org/10.1002/cam4.4465

Ejemplares similares