Article

IntegrIBS: Evaluating the Potential and Challenges of Building a Robust IBS Classifier with Integrated Microbiome Data

2024-06-27

Abstract excerpt

Irritable Bowel Syndrome (IBS) is a condition that is quite complicated and shares its symptoms with other related diseases, making it difficult to diagnose. In this study, we initially trained machine learning models on individual microbiome datasets and tested their performance on other datasets, observing variability and low precision among them. To mitigate this, we hypothesised that integrating multiple publi...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: f94d4dc6-0e45-5e6c-ba81-bd33a3b84165
DOI: 10.1101/2024.06.21.600147

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

IntegrIBS: Evaluating the Potential and Challenges of Building a Robust IBS Classifier with Integrated Microbiome DataDOI 10.1101/2024.06.21.600147Read

Performance of IBD machine learning classifiers varies across microbiome training data independent of geographic diversitySemantic proximity Read

Leveraging 16S rRNA Microbiome Sequencing Data to Identify Bacterial Signatures for Irritable Bowel SyndromeSemantic proximity Read

Enhanced Prediction of Gut Microbiome–Related Diseases Using Hybrid Machine Learning ModelsSemantic proximity Read

Benchmark of data processing methods and machine learning models for gut microbiome-based diagnosis of inflammatory bowel diseaseSemantic proximity Read

MetaIBS - large-scale amplicon-based meta analysis of irritable bowel syndromeSemantic proximity Read

Faecal microbiome-based machine learning for multi-class disease diagnosisSemantic proximity Read

Gut Microbiome Wellness Index 2 enhances health status prediction from gut microbiome taxonomic profilesSemantic proximity Read

Gut Microbiome Wellness Index 2 for Enhanced Health Status Prediction from Gut Microbiome Taxonomic ProfilesSemantic proximity Read

Meta-analysis defines predominant shared microbial responses in various diseases and a specific inflammatory bowel disease signalSemantic proximity Read

Integrating traditional omics and machine learning approaches to identify microbial biomarkers and therapeutic targets in pediatric inflammatory bowel diseaseSemantic proximity Read

A predictive index for health status using species-level gut microbiome profilingSemantic proximity Read

Leveraging Human Microbiome Features to Diagnose and Stratify Children with Irritable Bowel SyndromeSemantic proximity Read