Depression classification with MDD (Major Depressive Disorder) using signal processing and machine learning
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2020.
المؤلفون الرئيسيون: | Saleque, Shahriar, Spriha, Gul-A-Zannat, Kamal, MD Rasheeq Ishraq, Khan, Rafia Tabassum |
---|---|
مؤلفون آخرون: | Chakrabarty, Amitabha |
التنسيق: | أطروحة |
اللغة: | English |
منشور في: |
Brac University
2021
|
الموضوعات: | |
الوصول للمادة أونلاين: | http://hdl.handle.net/10361/14724 |
مواد مشابهة
-
A review on major depressive disorder
بواسطة: Sadia, Mumtahina
منشور في: (2024) -
A deep learning approach to depression detection based on Convolutional Neural Networks and Transfer Learning
بواسطة: Sarmi, Kaniz Fatima, وآخرون
منشور في: (2022) -
Epileptic seizure detection by exploiting EEG signals using different decomposition techniques and machine learning approaches
بواسطة: Karim, Rezwanul, وآخرون
منشور في: (2019) -
Depression: a major global concern?
بواسطة: Samiullah, Md.
منشور في: (2018) -
Detection of epileptic seizure using Support Vector Machine Classifier - extracted features from EEG signals
بواسطة: Amiz, Asef Hassan, وآخرون
منشور في: (2021)