ascopubs.org

Using Real-World Data for Machine-Learning Algorithms to Predict the Treatment Response in Advanced Melanoma: A Pilot Study for Personalizing Cancer Care

Predictive Model of Objective Response to Nivolumab Monotherapy for Advanced Renal Cell Carcinoma by Machine Learning Using Genetic and Clinical Data: The SNiP-RCC Study The use of real-world data ...
IEEE

Last-Mile Route Optimization Using Genetic Algorithm, Integer Programming, and Machine Learning-Based Clustering and Cost Estimation Models

Abstract: This study proposes a hybrid framework for optimizing last-mile delivery routes that combines Genetic Algorithm (GA), Integer Programming (IP), and machine learning (ML)-based clustering and ...
IEEE

Energy-Efficient Clustering in WSNs Using Multi-Objective Genetic Algorithms

This research proposes a Multiobjective Genetic Algorithm (MOGA) for energy efficient clustering in Wireless Sensor Networks (WSN). Clustering is a key tactic for improving network scalability and ...