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Current untargeted volatilomics aimed at predicting phenotypes from the analysis of biofluids and discovering informative biomarkers are largely based on machine learning methods. This chapter reviews the main tools and challenges in the development of the predictive machine learning model from the study design to the validation phase. Biomarker discovery based on feature selection is also reviewed.

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