Fig. 5From: Machine learning for data integration in human gut microbiome Machine learning applications in the gut microbiome. Personalized features, including clinic parameters, gut microbial signatures and features from multi-omics of human host, are used to train models for different applications, such as phenotypic prediction, patient stratification, biomarker discovery, treatment outcome evaluation, personalized treatment and nutritionBack to article page