Machine learning improves the prediction of febrile neutropenia in Korean inpatients undergoing chemotherapy for breast cancer

Febrile neutropenia (FN) is one of the most concerning complications of chemotherapy, and its prediction remains difficult. This study aimed to reveal the risk factors for and build the prediction models of FN using machine learning algorithms. Medical records of hospitalized patients who underwent...

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Detalles Bibliográficos
Autores principales: Cho, Bum-Joo, Kim, Kyoung Min, Bilegsaikhan, Sanchir-Erdene, Suh, Yong Joon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7481240/
https://www.ncbi.nlm.nih.gov/pubmed/32908182
http://dx.doi.org/10.1038/s41598-020-71927-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7481240/
https://www.ncbi.nlm.nih.gov/pubmed/32908182
http://dx.doi.org/10.1038/s41598-020-71927-6

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