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.

Opis bibliograficzny
Główni autorzy:	Saad-Ul-Kabir, Syed, Neeha, Ashwaq Noor, Ibnat, Rifah Nanjiba, Prottasha, Tanjila Haque, Ananna, Sadika Rahman
Kolejni autorzy:	Islam, Md. Saiful
Format:	Praca dyplomowa
Język:	English
Wydane:	Brac University 2021
Hasła przedmiotowe:	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
Dostęp online:	http://hdl.handle.net/10361/15163

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

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