IEEE

Federated Learning for Medical Applications - A Study on Performance and Bias with Logistic Regression on Small Datasets

Abstract: Important concerns when using medical data for Machine Learning (ML) is patient privacy and bias. Federated Learning (FL), the training of a centralized model by using parameters from ...
IEEE

Obesity Prediction Using Machine Learning Technique

Abstract: An innovative methodology for predicting obesity levels has been devised by leveraging advanced Machine Learning techniques, specifically logistic regression, for forecasting obesity levels ...