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.

Détails bibliographiques
Auteurs principaux: Saad-Ul-Kabir, Syed, Neeha, Ashwaq Noor, Ibnat, Rifah Nanjiba, Prottasha, Tanjila Haque, Ananna, Sadika Rahman
Autres auteurs: Islam, Md. Saiful
Format: Thèse
Langue:English
Publié: Brac University 2021
Sujets:
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
Accès en ligne:http://hdl.handle.net/10361/15163

Internet

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

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