Development of a Student Depression Prediction Model Based on Machine Learning with Algorithm Performance Evaluation

Development of a Student Depression Prediction Model Based on Machine Learning with Algorithm Performance Evaluation

This research explores the implementation of machine learning to predict depression among university students using a dataset of 2.028 responses containing PHQ-9 scores and academic-demographic attributes. The research implements a structured modeling process involving feature selection, normalizati...

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Bibliographic Details
Main Authors: Penni Wintasari Simarmata, Putri Taqwa Prasetyaningrum
Format: Article
Language:English
Published: Informatics Department, Faculty of Computer Science Bina Darma University 2025-06-01
Series:Journal of Information Systems and Informatics
Subjects:
classification algorithm, depression prediction, machine learning, model development, model evaluation
Online Access:https://journal-isi.org/index.php/isi/article/view/1087
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