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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...

詳細記述

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書誌詳細
出版年:Ann Med Surg (Lond)
主要な著者: Al-Azzam, Nosayba, Shatnawi, Ibrahem
フォーマット: Artigo
言語:Inglês
出版事項: Elsevier 2021
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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