Can I read Machine Learning for Depression Prediction on EtoBox?

Machine Learning for Depression Prediction by lasyapriyalomada2006 is a document available to read on EtoBox.

What is Machine Learning for Depression Prediction about?

This project explores a machine learning system for predicting depression levels using PHQ-8 questionnaire responses and audio features. The study evaluates models such as Logistic Regression, Random Forest, and LightGBM, with LightGBM achieving the highest performance metrics, including an accuracy of 92.11%. The findings suggest the potential for automated depression screening tools that integrate audio analysis for improved mental health assessments.

Author

lasyapriyalomada2006

Language

EN