AIMC Topic: Crohn Disease

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Non-invasive diagnosis of Crohn's disease based on SERS combined with PCA-SVM.

Analytical methods : advancing methods and applications Nov 18, 2021
Crohn's disease (CD) is an idiopathic chronic inflammatory bowel disease without a cure. Most of the CD patients are firstly diagnosed by invasive endoscopy, and clinical and pathological examinations are further required to confirm the diagnosis. He...
Support Vector Machine Principal Component Analysis Discriminant Analysis Crohn Disease Humans Spectrum Analysis, Raman
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Utilizing machine learning with knockoff filtering to extract significant metabolites in Crohn's disease with a publicly available untargeted metabolomics dataset.

PloS one Jul 29, 2021
Metabolomic data processing pipelines have been improving in recent years, allowing for greater feature extraction and identification. Lately, machine learning and robust statistical techniques to control false discoveries are being incorporated into...
Metabolomics Metabolome Crohn Disease Humans Machine Learning
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Machine learning for selecting patients with Crohn's disease for abdominopelvic computed tomography in the emergency department.

Digestive and liver disease : official journal of the Italian Society of Gastroenterology and the Italian Association for the Study of the Liver Jul 9, 2021
BACKGROUND: Patients with Crohn's disease (CD) frequently undergo abdominopelvic computed tomography (APCT) in the emergency department (ED). It's essential to diagnose clinically actionable findings (CAF) as they may need immediate intervention, fre...
Adolescent ROC Curve Emergency Service, Hospital Crohn Disease Male Middle Aged Risk Assessment Patient Selection Humans Young Adult Artificial Intelligence Retrospective Studies Adult Tomography, X-Ray Computed
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Microbiome meta-analysis and cross-disease comparison enabled by the SIAMCAT machine learning toolbox.

Genome biology Mar 30, 2021
The human microbiome is increasingly mined for diagnostic and therapeutic biomarkers using machine learning (ML). However, metagenomics-specific software is scarce, and overoptimistic evaluation and limited cross-study generalization are prevailing i...
Computational Biology Gastrointestinal Microbiome Databases, Genetic Models, Statistical Machine Learning Software ROC Curve Microbiota Metagenomics Confounding Factors, Epidemiologic Metagenome Meta-Analysis as Topic Workflow Crohn Disease Humans
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Deep Learning Algorithm for the Confirmation of Mucosal Healing in Crohn's Disease, Based on Confocal Laser Endomicroscopy Images.

Journal of gastrointestinal and liver diseases : JGLD Mar 12, 2021
BACKGROUND AND AIMS: Mucosal healing (MH) is associated with a stable course of Crohn's disease (CD) which can be assessed by confocal laser endomicroscopy (CLE). To minimize the operator's errors and automate assessment of CLE images, we used a deep...
Microscopy, Confocal Humans Intestinal Mucosa Lasers Inflammation Algorithms Crohn Disease Deep Learning
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Deep-learning system for real-time differentiation between Crohn's disease, intestinal Behçet's disease, and intestinal tuberculosis.

Journal of gastroenterology and hepatology Feb 20, 2021
BACKGROUND AND AIM: Pattern analysis of big data can provide a superior direction for the clinical differentiation of diseases with similar endoscopic findings. This study aimed to develop a deep-learning algorithm that performs differential diagnosi...
Diagnosis, Differential Crohn Disease Enteritis Tuberculosis, Gastrointestinal Gastrointestinal Diseases Behcet Syndrome Colonoscopy Deep Learning Adolescent Adult Male Middle Aged Female Young Adult Humans Neural Networks, Computer
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Robotic repair of colovesical fistula due to complicated Crohn's disease - a video vignette.

Colorectal disease : the official journal of the Association of Coloproctology of Great Britain and Ireland Feb 11, 2020
Humans Rectal Fistula Intestinal Fistula Robotics Robotic Surgical Procedures Crohn Disease
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Deep learning algorithms for automated detection of Crohn's disease ulcers by video capsule endoscopy.

Gastrointestinal endoscopy Nov 16, 2019
BACKGROUND AND AIMS: The aim of our study was to develop and evaluate a deep learning algorithm for the automated detection of small-bowel ulcers in Crohn's disease (CD) on capsule endoscopy (CE) images of individual patients.
Crohn Disease Automation Random Allocation Ulcer Retrospective Studies Capsule Endoscopy Humans Intestine, Small Neural Networks, Computer Reproducibility of Results Deep Learning Algorithms Intestinal Mucosa
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Comparative performances of machine learning methods for classifying Crohn Disease patients using genome-wide genotyping data.

Scientific reports Jul 17, 2019
Crohn Disease (CD) is a complex genetic disorder for which more than 140 genes have been identified using genome wide association studies (GWAS). However, the genetic architecture of the trait remains largely unknown. The recent development of machin...
Polymorphism, Single Nucleotide Genotype Alleles Humans Logistic Models Genome-Wide Association Study Nonlinear Dynamics Decision Trees Genotyping Techniques Models, Genetic Male ROC Curve Neural Networks, Computer Area Under Curve INDEL Mutation Genetic Predisposition to Disease Deep Learning Female Crohn Disease
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Ontology-Based Interactive Visualization of Patient-Generated Research Questions.

Applied clinical informatics Jun 5, 2019
BACKGROUND: Crohn's disease and colitis are chronic conditions that affect every facet of patients' lives (e.g., social interaction, family, work, diet, and sleep). Thus, treatment consists largely of disease management. The University of North Carol...
Biological Ontologies Colitis User-Computer Interface Humans Crohn Disease Feedback Data Mining Biomedical Research
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