Depression Screening in Humans With AI and Deep Learning Techniques

Author:

Wani Mudasir Ahmad1,ELAffendi Mohammad A.2ORCID,Shakil Kashish Ara3,Imran Ali Shariq1ORCID,El-Latif Ahmed A. Abd2ORCID

Affiliation:

1. Department of Information Security and Communication Technology, Norwegian University of Science and Technology (NTNU), Gjovik, Norway

2. College of Computer and Information Sciences, EIAS Data Science Laboratory, Prince Sultan University, Riyadh, Saudi Arabia

3. Department of Computer Science, College of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia

Funder

Emerging Intelligent Autonomous Systems (EIAS), Data Science and Blockchain Laboratory, Prince Sultan University, Riyadh, Saudi Arabia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Human-Computer Interaction,Social Sciences (miscellaneous),Modeling and Simulation

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1. Comprehensive review of depression detection techniques based on machine learning approach;Soft Computing;2024-07-23

2. Theoretical Approach Of Implementing Blockchain And Artificial Intelligence For Diploma Verification;2024 13th Mediterranean Conference on Embedded Computing (MECO);2024-06-11

3. A Novel Development of Artificial Intelligence Enabled Learning Methodology for Human Depression Prediction Scheme;2024 International Conference on Intelligent Systems for Cybersecurity (ISCS);2024-05-03

4. Machine Learning for Depression Detection on Web and Social Media;International Journal on Semantic Web and Information Systems;2024-04-26

5. Dual Layer Cogni - Insight Deep-Mood Encoder: A Two- Tiered Approach for Depression Detection;2024 International Russian Smart Industry Conference (SmartIndustryCon);2024-03-25

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