ItemConference Paper

Depression Severity Prediction Among Higher Education Students Using Neural Network Model

Title
Depression Severity Prediction Among Higher Education Students Using Neural Network Model
Creator
Agrawal, Kanchi; Kavitha, R.; Kumar, Dalvin Vinoth
Description
Depression significantly affects students' mental health and academic performance, highlighting the need for effective early detection methods. This study investigates machine learning approaches for automated classification of depression severity using responses from the Patient Health Questionnaire-9 (PHQ-9). Deep Neural Network (DNN), Long Short-Term Memory (LSTM), and hybrid models combining structured PHQ-9 scores with descriptive text responses were evaluated. The experimental results show that the LSTM model achieved the highest classification precision (90%), demonstrating its ability to capture sequential relationships between items in PHQ-9. The findings indicate that sequence-based models are well suited to assess the severity of depression in student populations. Integrating such predictive models into digital mental health screening systems may support the early identification of at-risk students and enable timely, data-driven interventions in academic settings. 2026 IEEE.
Source
Proceedings of the 5th International Conference on Sentiment Analysis and Deep Learning, ICSADL 2026;pp.908-913
Date
01-01-2026
Publisher
Institute of Electrical and Electronics Engineers Inc.
Subject
Depression Detection; Mental Health Screening; PHQ-9; Student Mental Health; Text Analysis
Coverage
Agrawal K., Christ University, Department of Statistics and Data Science, Bengaluru, India; Kavitha R., Christ University, Department of Statistics and Data Science, Bengaluru, India; Kumar D.V., Christ University, Department of Statistics and Data Science, Bengaluru, India
Rights
Restricted Access; Hardcopy may be available in the library
Relation
ISBN: 979-833156883-2;
Format
online
Language
English
Type
Conference paper

Citation

Agrawal, Kanchi; Kavitha, R.; Kumar, Dalvin Vinoth, “Depression Severity Prediction Among Higher Education Students Using Neural Network Model,” CHRIST (Deemed To Be University) Institutional Repository, accessed June 19, 2026, https://archives.christuniversity.in/items/show/26106.

Output Formats