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Gastrointestinal Microbiome

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Machine learning on microbiome research in gastrointestinal cancer.

Journal of gastroenterology and hepatology Apr 1, 2021
Gastrointestinal cancer maintains the highest incidence and mortality rate among all cancers globally. In addition to genetic causes, it has been reported that individuals' diet and composition of the gastrointestinal microbiome have profound impacts...
Research Design Research Artificial Intelligence Humans Machine Learning Deep Learning Gastrointestinal Microbiome Gastrointestinal Neoplasms High-Throughput Nucleotide Sequencing
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Gut Microbiota in T1DM-Onset Pediatric Patients: Machine-Learning Algorithms to Classify Microorganisms as Disease Linked.

The Journal of clinical endocrinology and metabolism Sep 1, 2020
AIMS: The purpose of this work is to find the gut microbial fingerprinting of pediatric patients with type 1 diabetes.
Female Risk Factors Machine Learning Algorithms Cohort Studies Child, Preschool Male Adolescent Humans Feces Gastrointestinal Microbiome Diabetes Mellitus, Type 1 Age of Onset Metagenome Child
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mAML: an automated machine learning pipeline with a microbiome repository for human disease classification.

Database : the journal of biological databases and curation Jan 1, 2020
Due to the concerted efforts to utilize the microbial features to improve disease prediction capabilities, automated machine learning (AutoML) systems aiming to get rid of the tediousness in manually performing ML tasks are in great demand. Here we d...
Computational Biology Gastrointestinal Microbiome Disease Software Databases, Factual Machine Learning Humans
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[A machine learning model based on initial gut microbiome data for predicting changes of Bifidobacterium after prebiotics consumption].

Nan fang yi ke da xue xue bao = Journal of Southern Medical University Mar 20, 2018
OBJECTIVE: To investigate the effects of prebiotics supplementation for 9 days on gut microbiota structure and function and establish a machine learning model based on the initial gut microbiota data for predicting the variation of Bifidobacterium af...
Bifidobacterium Feces Gastrointestinal Microbiome Double-Blind Method Humans RNA, Ribosomal, 16S Prebiotics Machine Learning
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AI Tackles Hospital Infections: Machine Learning Is Helping Clinicians.

IEEE pulse Jan 1, 2018
For Ashley Zappia (Figure 1), getting her hands dirty was part of her job. Even though she always tried to remain as clean as possible, her work as a nursing aide at a Southern California hospital required a lot of diapering, changing, and other hand...
Humans Machine Learning Risk Factors Cross Infection Clostridium Infections Clostridioides difficile Immunocompromised Host Infection Control Medical Informatics Gastrointestinal Microbiome
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[A machine learning model using gut microbiome data for predicting changes of trimethylamine-N-oxide in healthy volunteers after choline consumption].

Nan fang yi ke da xue xue bao = Journal of Southern Medical University Mar 20, 2017
OBJECTIVE: To establish a machine learning model based on gut microbiota for predicting the level of trimethylamine N-oxide (TMAO) metabolism in vivo after choline intake to provide guidance of individualized precision diet and evidence for screening...
Gastrointestinal Microbiome Machine Learning RNA, Ribosomal, 16S Choline Healthy Volunteers Oxides Humans Algorithms Methylamines Eggs
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