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.

Dades bibliogràfiques
Autors principals: Saad-Ul-Kabir, Syed, Neeha, Ashwaq Noor, Ibnat, Rifah Nanjiba, Prottasha, Tanjila Haque, Ananna, Sadika Rahman
Altres autors: Islam, Md. Saiful
Format: Thesis
Idioma:English
Publicat: Brac University 2021
Matèries:
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
Accés en línia:http://hdl.handle.net/10361/15163

Internet

http://hdl.handle.net/10361/15163

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