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.

Bibliographische Detailangaben
Hauptverfasser:	Tasmeem, Sumaiya, Rahaman, Motiur, Piasha, Karishma Meherin Khan, Yasar, Samin, Dina, Murshida Akter
Weitere Verfasser:	Rahman, Tanvir
Format:	Abschlussarbeit
Sprache:	English
Veröffentlicht:	Brac University 2023
Schlagworte:	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)
Online Zugang:	http://hdl.handle.net/10361/21779

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