Leveraging Machine Learning Algorithms to Detect Infections Using GC-IMS Data: A Preliminary Investigation

This research aims to develop a robust data analytics process and enhance machine learning models to accurately differentiate between infected and non-infected samples using Gas Chromatography-Ion Mobility Spectrometry (GC-IMS) data.