PUPIL DIAMETER AND MACHINE LEARNING FOR DEPRESSION DETECTION: A COMPARATIVE STUDY WITH DEEP LEARNING MODELS
According to the World Health Organization, the Global Mental Health Report estimated that between 251 and 310 million individuals worldwide experienced depression during the first year of the COVID-19 pandemic. Most methods for detecting depression rely on clinical diagnoses and surveys. However,...
Saved in:
Main Authors: | Islam MOHAMED, Mohamed EL-WAKAD, Khaled ABBAS, Mohamed ABOAMER, Nader A. Rahman MOHAMED |
---|---|
Format: | Article |
Language: | English |
Published: |
Polish Association for Knowledge Promotion
2024-12-01
|
Series: | Applied Computer Science |
Subjects: | |
Online Access: | https://ph.pollub.pl/index.php/acs/article/view/6628 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
HHT RELATIVE SPECTRUM ENTROPY AND ITS APPLICATION IN DEGRADATION STATE IDENTIFICATION OF BEARING
by: QIN DengPan
Published: (2019-01-01) -
Gear Fault Diagnosis Method Based on Deep Transfer Learning
by: Liu Shihao, et al.
Published: (2023-05-01) -
NONLINEAR FREQUENCY MODULATION ANALYSIS OF GEAR SYSTEM BASED ON EXPERIMENT AND SIMULATION
by: WANG Jue, et al.
Published: (2019-01-01) -
Douglas' Factorization Theorem and Atomic System in Hilbert Pro-$C^{\ast}$-Modules
by: Mohamed Rossafi, et al.
Published: (2024-03-01) -
Correlation between Acoustic Feature and Sensory Crispness of Different Puffed Food Based on Energy Release Analysis
by: Chengkai ZHU, et al.
Published: (2025-02-01)