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Applying Machine-Learning to Human Gastrointestinal Microbial Species to Predict Dietary Intake (P20-040-19)
Applying Machine-Learning to Human Gastrointestinal Microbial Species to Predict Dietary Intake (P20-040-19)
2019
Leila Shinn
Yutong Li
Ruoqing Zhu
Aditya Mansharamani
Loretta Auvil
Michael Welge
Colleen Bushell
Naiman A. Khan
Craig S. Charron
Janet A. Novotny
David J. Baer
Hannah D. Holscher
Keywords:
Machine learning
Biology
Artificial intelligence
Microbiome
Hordeum
Stool specimen
Gene
Microorganism
Food science
whole grains
Metabolomics
dietary intake
Correction
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