Diagnosis of cervical cancer using effective hybrid model in Bangladesh

Diagnosis of cervical cancer using effective hybrid model in Bangladesh

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021.

書誌詳細
主要な著者:	Saad-Ul-Kabir, Syed, Neeha, Ashwaq Noor, Ibnat, Rifah Nanjiba, Prottasha, Tanjila Haque, Ananna, Sadika Rahman
その他の著者:	Islam, Md. Saiful
フォーマット:	学位論文
言語:	English
出版事項:	Brac University 2021
主題:	Cervical Cancer K-Nearest Neighbor Hybrid Machine Learning Demography Stochastic Gradient Descent Recurrent Neural Network Support Vector Machine Random Forest Naive Bayes AdaBoost Cervical cancer
オンライン･アクセス:	http://hdl.handle.net/10361/15163

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