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

Online

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

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