Towards quantifying biomarkers for respiratory distress in preterm infants: Machine learning on mid infrared spectroscopy of lipid mixtures

This study presents a lung lipid model of five lipids present in lung surfactant and varies each in a systematic approach to evaluate the ability of machine learning models to predict the lipid concentrations, the L/S ratio and to quantify the uncertainty in the predictions using the jackknife + -after-bootstrap and variant bootstrap methods. We establish the L/S ratio can be determined with an uncertainty of approximately ±0.3 mol/mol and we further identify the 5 most prominent wavenumbers associated with each machine learning model.PMID:38615457 | DOI:10.1016/j.talanta.2024.126062

Source: Talanta - April 14, 2024 Category: Chemistry Authors: Waseem Ahmed Aneesh Vincent Veluthandath Jens Madsen Howard W Clark Ahilanandan Dushianthan Anthony D Postle James S Wilkinson Ganapathy Senthil Murugan Source Type: research