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

Abstract 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 u...

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Autores principales: Bum-Joo Cho, Kyoung Min Kim, Sanchir-Erdene Bilegsaikhan, Yong Joon Suh
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2020
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Acceso en línea:https://doaj.org/article/2f3cff78ff55490c84cc808d4185950f
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