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.

Podrobná bibliografie
Hlavní autoři:	Tasmeem, Sumaiya, Rahaman, Motiur, Piasha, Karishma Meherin Khan, Yasar, Samin, Dina, Murshida Akter
Další autoři:	Rahman, Tanvir
Médium:	Diplomová práce
Jazyk:	English
Vydáno:	Brac University 2023
Témata:	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)
On-line přístup:	http://hdl.handle.net/10361/21779

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

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