A voting ensemble classifier for stress detection
A voting ensemble classifier for stress detection is a scholarly work, published in 2024 in ''Journal of Information and Telecommunication''. The main subjects of the publication include classifier, clinical engineering, random forest, voting, artificial intelligence, ensemble learning, remote patient monitoring, support vector machine, alarm fatigue, decision tree, logistic regression model, machine learning, majority rule, and computer science. The paper presents a Machine Learning and IoT-based intelligent medical system for the detection and monitoring of patient stress.