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.

Библиографические подробности
Главные авторы: Saad-Ul-Kabir, Syed, Neeha, Ashwaq Noor, Ibnat, Rifah Nanjiba, Prottasha, Tanjila Haque, Ananna, Sadika Rahman
Другие авторы: Islam, Md. Saiful
Формат: Диссертация
Язык:English
Опубликовано: Brac University 2021
Предметы:
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
Online-ссылка:http://hdl.handle.net/10361/15163

Internet

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

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