At the Mount Sinai Health System we have successfully translated many algorithms from concept to testing and clinical care, ...

At the forefront of discovery, where cutting-edge scientific questions are tackled, we often don't have much data. Conversely ...

This paper proposes a new intrusion detection model KnTrELM, which integrates KNN and transfer extreme-learning-machine to solve the problems. KnTrELM first applies KNN to detect and delete outlier ...

This paper presents a comprehensive performance analysis of various machine learning algorithms for the prediction of thyroid disease, considering both binary and multi-class classification scenarios.