Machine learning approaches to the human metabolome in sepsis identify metabolic links with survival

Abstract

We identified metabolites linked with sepsis survival, some confirming prior observations, and others representing new associations. The application of ensemble ML feature-ranking tools to metabolomic data may represent a promising statistical platform to support biologic target discovery.