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Comparing supervised and semi-supervised Machine Learning Models on Diagnosing Breast Cancer
BACKGROUND: Breast cancer disease is the most common cancer in US women and the second cause of cancer death among women. OBJECTIVES: To compare and evaluate the performance and accuracy of the key supervised and semi-supervised machine learning algorithms for breast cancer prediction. MATERIALS AND...
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| 出版年: | Ann Med Surg (Lond) |
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| 主要な著者: | , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Elsevier
2021
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7806524/ https://ncbi.nlm.nih.gov/pubmed/33489117 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.amsu.2020.12.043 |
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