Can Gut Microbiota Be a Good Predictor for Parkinson's Disease? A Machine Learning Approach.

ABSTRACT: The involvement of the gut microbiota in Parkinson's disease (PD), investigated in several studies, identified some common alterations of the microbial community, such as a decrease in Lachnospiraceae and an increase in Verrucomicrobiaceae families in PD patients. However, the results of other bacterial families are often contradictory. Machine learning is a promising tool for building predictive models for the classification of biological data, such as those produced in metagenomic studies. We tested three different machine learning algorithms (random forest, neural networks and support vector machines), analyzing 846 metagenomic samples (472 from PD patients and 374 from healthy controls), including our published data and those downloaded from public databases. Prediction p

SUBMITTER: Pietrucci D 

PROVIDER: S-EPMC7226159 | biostudies-literature | 2020 Apr

REPOSITORIES: biostudies-literature