Machine learning for predicting the response of breast cancer to neoadjuvant chemotherapy

OBJECTIVE: To employ machine learning methods to predict the eventual therapeutic response of breast cancer patients after a single cycle of neoadjuvant chemotherapy (NAC). MATERIALS AND METHODS: Quantitative dynamic contrast-enhanced MRI and diffusion-weighted MRI data were acquired on 28 patients...

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Main Authors: Mani, Subramani, Chen, Yukun, Li, Xia, Arlinghaus, Lori, Chakravarthy, A Bapsi, Abramson, Vandana, Bhave, Sandeep R, Levy, Mia A, Xu, Hua, Yankeelov, Thomas E
格式: Artigo
語言:Inglês
出版: BMJ Publishing Group 2013
主題:
Focus on Translational Bioinformatics
在線閱讀:https://ncbi.nlm.nih.gov/pmc/articles/PMC3721158/
https://ncbi.nlm.nih.gov/pubmed/23616206
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1136/amiajnl-2012-001332
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