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.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Saad-Ul-Kabir, Syed, Neeha, Ashwaq Noor, Ibnat, Rifah Nanjiba, Prottasha, Tanjila Haque, Ananna, Sadika Rahman
Άλλοι συγγραφείς: Islam, Md. Saiful
Μορφή: Thesis
Γλώσσα:English
Έκδοση: Brac University 2021
Θέματα:
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
Διαθέσιμο Online:http://hdl.handle.net/10361/15163

Διαδίκτυο

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

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