The Lancet

When to and when not to use machine learning in risk prediction models

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered considerable interest among researchers. The debate around the use of machine ...
IEEE

Machine Learning-Driven Personalized Cancer Treatment: Evaluating Supervised and Reinforcement Learning Approaches

Abstract: This research explores the application of machine learning techniques in recommending personalized cancer treatments, comparing supervised learning and reinforcement learning approaches. By ...
IEEE

Ensemble Machine Learning for UAV Network Intrusion Detection: Comprehensive Analysis Using the UAV-NIDD Dataset

Abstract: Unmanned Aerial Vehicles (UAVs) are at the center of a number of mission-critical applications, however, the largescale deployment of these vehicles is accompanied by cybersecurity risks ...