Multiclass disease classification from microbial whole-community metagenomes

Mathematics

• Multi-class 89%
• Community 70%
• Random Forest 50%
• Neural Nets 47%
• Graph in graph theory 23%
• Microorganisms 22%
• Test Set 22%
• False Positive 22%
• Type II error 22%
• Phylogenetic Tree 21%
• Receiver 21%
• Classifier 19%
• Type I error 19%
• Screening 19%
• Architecture 19%
• Machine Learning 19%
• Diagnostics 17%
• False 17%
• Model 17%
• Signature 16%
• Complement 13%
• Performance 10%
• Operator 8%

Medicine & Life Sciences

• Metagenome 100%
• Microbiota 69%
• Forests 62%
• Machine Learning 19%

Engineering & Materials Science

• Microorganisms 83%
• Random forests 36%
• Graph structures 21%
• Neural networks 21%
• Screening 16%
• Machine learning 12%
• Classifiers 12%