Prediction of bipolar disorder from mental episodes using machine learning approach

Prediction of bipolar disorder from mental episodes using machine learning approach

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2022.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Tasmeem, Sumaiya, Rahaman, Motiur, Piasha, Karishma Meherin Khan, Yasar, Samin, Dina, Murshida Akter
Άλλοι συγγραφείς: Rahman, Tanvir
Μορφή: Thesis
Γλώσσα:English
Έκδοση: Brac University 2023
Θέματα:
Bipolar detection
Random forest
Machine learning
Extreme gradient boosting
Decision tree
SVM
MDQ
Logistic regression
CatBoost
Light-GBM
XGBoost
Logistic regression analysis
Deep learning (Machine learning)
Διαθέσιμο Online:http://hdl.handle.net/10361/21779

Διαδίκτυο

http://hdl.handle.net/10361/21779

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