Usefulness of Machine Learning-Based Gut Microbiome Analysis for Identifying Patients with Irritable Bowels Syndrome

Irritable bowel syndrome (IBS) is diagnosed by subjective clinical symptoms. We aimed to establish an objective IBS prediction model based on gut microbiome analyses employing machine learning. We collected fecal samples and clinical data from 85 adult patients who met the Rome III criteria for IBS,...

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Detalles Bibliográficos
Autores principales: Fukui, Hirokazu, Nishida, Akifumi, Matsuda, Satoshi, Kira, Fumitaka, Watanabe, Satoshi, Kuriyama, Minoru, Kawakami, Kazuhiko, Aikawa, Yoshiko, Oda, Noritaka, Arai, Kenichiro, Matsunaga, Atsushi, Nonaka, Masahiko, Nakai, Katsuhiko, Shinmura, Wahei, Matsumoto, Masao, Morishita, Shinji, Takeda, Aya K., Miwa, Hiroto
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7464323/
https://www.ncbi.nlm.nih.gov/pubmed/32727141
http://dx.doi.org/10.3390/jcm9082403

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