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.

Dettagli Bibliografici
Autori principali:	Saad-Ul-Kabir, Syed, Neeha, Ashwaq Noor, Ibnat, Rifah Nanjiba, Prottasha, Tanjila Haque, Ananna, Sadika Rahman
Altri autori:	Islam, Md. Saiful
Natura:	Tesi
Lingua:	English
Pubblicazione:	Brac University 2021
Soggetti:	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
Accesso online:	http://hdl.handle.net/10361/15163

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