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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2020
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| Materias: | |
| 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 |