SIMON, an Automated Machine Learning System, Reveals Immune Signatures of Influenza Vaccine Responses.

ABSTRACT: Machine learning holds considerable promise for understanding complex biological processes such as vaccine responses. Capturing interindividual variability is essential to increase the statistical power necessary for building more accurate predictive models. However, available approaches have difficulty coping with incomplete datasets which is often the case when combining studies. Additionally, there are hundreds of algorithms available and no simple way to find the optimal one. In this study, we developed Sequential Iterative Modeling "OverNight" (SIMON), an automated machine learning system that compares results from 128 different algorithms and is particularly suitable for datasets containing many missing values. We applied SIMON to data from five clinical studies of seasonal influenza

SUBMITTER: Tomic A 

PROVIDER: S-EPMC6643048 | biostudies-literature | 2019 Aug

REPOSITORIES: biostudies-literature