Publications & Research

Exploring machine learning applications in mental health and behavioral analysis

Predicting Anger Proneness Using Deep Learning Techniques

Ida Bagus G. P. M. Adiputra, et al.
2023
Conference Paper

Published in:

2023 IEEE 9th International Conference on Computing, Engineering and Design (ICCED)

Abstract:

This research explores the application of machine learning algorithms to predict anger proneness in individuals based on physiological and behavioral data, contributing to mental health monitoring and intervention strategies.

Research Areas:

Machine LearningNLPMental HealthPredictive Analysis

Research Interests

Machine Learning

Deep learning applications in behavioral analysis and prediction

Mental Health Tech

Technology-driven solutions for mental health monitoring

Data Analytics

Advanced analytics for behavioral pattern recognition