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Supervised Machine Learning Predictive Analytics For Triple-Negative Breast Cancer Death Outcomes

OBJECTIVE: To use machine learning algorithms to predict the death outcomes of patients with triple-negative breast cancer, 5 years after discharge. METHODS: 1570 stage I-III breast cancer patients receiving treatment from Sun Yat-sen Memorial Hospital were analyzed. Machine learning was used to pre...

Täydet tiedot

Tallennettuna:
Bibliografiset tiedot
Julkaisussa:Onco Targets Ther
Päätekijät: Xu, Yucan, Ju, Lingsha, Tong, Jianhua, Zhou, Chengmao, Yang, Jianjun
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: Dove 2019
Aiheet:
Linkit:https://ncbi.nlm.nih.gov/pmc/articles/PMC6830358/
https://ncbi.nlm.nih.gov/pubmed/31802913
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.2147/OTT.S223603
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