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.

Detalles Bibliográficos
Main Authors:	Tasmeem, Sumaiya, Rahaman, Motiur, Piasha, Karishma Meherin Khan, Yasar, Samin, Dina, Murshida Akter
Outros autores:	Rahman, Tanvir
Formato:	Thesis
Idioma:	English
Publicado:	Brac University 2023
Subjects:	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)
Acceso en liña:	http://hdl.handle.net/10361/21779

Descripción
Summary:	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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