Machine Learning Based Metagenomic Prediction of Inflammatory Bowel Disease.
In this study, we investigate faecal microbiota composition, in an attempt to evaluate performance of classification algorithms in identifying Inflammatory Bowel Disease (IBD) and its two types: Crohn's disease (CD) and ulcerative colitis (UC). From many investigated algorithms, a random forest (RF)...
| Published in: | Studies in Health Technology & Informatics Vol. 285; pp. 165 - 171 |
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| Main Authors: | , , , |
| Format: | research tables/charts Journal Article |
| Published: |
Sage Publications Inc.
2021
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| Online Access: | View this record in EBSCOhost |