Development and testing of a random forest-based machine learning model for predicting events among breast cancer patients with a poor response to neoadjuvant chemotherapy

BACKGROUND: Breast cancer (BC) is the most common malignant tumor around the world. Timely detection of the tumor progression after treatment could improve the survival outcome of patients. This study aimed to develop machine learning models to predict events (defined as either (1) the first tumor r...

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Detalles Bibliográficos
Autores principales: Jin, Yudi, Lan, Ailin, Dai, Yuran, Jiang, Linshan, Liu, Shengchun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10543332/
https://www.ncbi.nlm.nih.gov/pubmed/37777809
http://dx.doi.org/10.1186/s40001-023-01361-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10543332/
https://www.ncbi.nlm.nih.gov/pubmed/37777809
http://dx.doi.org/10.1186/s40001-023-01361-7

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