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

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

Abstract 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...

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Bibliographic Details
Main Authors: Yudi Jin, Ailin Lan, Yuran Dai, Linshan Jiang, Shengchun Liu
Format: Article
Language:English
Published: BMC 2023-09-01
Series:European Journal of Medical Research
Subjects:
Breast cancer
Machine learning
Random forest
Logistic regression
Event
Online Access:https://doi.org/10.1186/s40001-023-01361-7

Internet

https://doi.org/10.1186/s40001-023-01361-7

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