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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...
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| Publicado no: | Onco Targets Ther |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Dove
2019
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| Assuntos: | |
| Acesso em linha: | 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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