Exploring Machine Learning Algorithms for Infection Detection Using GC-IMS Data: A Preliminary Study

arXiv:2404.15757v1 Announce Type: new
Abstract: The developing field of enhanced diagnostic techniques in the diagnosis of infectious diseases, constitutes a crucial domain in modern healthcare. By utilizing Gas Chromatography-Ion Mobility Spectrometry (GC-IMS) data and incorporating machine learning algorithms into one platform, our research aims to tackle the ongoing issue of precise infection identification. Inspired by these difficulties, our goals consist of creating a strong data analytics process, enhancing machine learning (ML) models, and performing thorough validation for clinical applications. Our …

abstract algorithms arxiv cs.lg data detection diagnosis diagnostic diseases domain healthcare infection infectious diseases machine machine learning machine learning algorithms mobility modern platform research study type