A psychological symptom based machine learning model for clinical evaluation of irritable bowel syndrome [version 1; peer review: 2 approved]

A psychological symptom based machine learning model for clinical evaluation of irritable bowel syndrome [version 1; peer review: 2 approved]

Background: Irritable bowel syndrome (IBS) is a chronic functional gastrointestinal disorder characterized by recurrent abdominal pain associated with alterations  in stool form and/or stool frequency. Co-morbidities such as anxiety, depression, fatigue, and insomnia are frequently reported by patie...

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Bibliographic Details
Main Authors: Noman Haleem, Gülen Arslan Lied, Astri J. Lundervold, Maja Bjorkevoll, Eline Margrete Randulff Hillestad, Erica Sande Teige, Ben René Bjørsvik, Elisabeth Kjelsvik Steinsvik, Ingeborg Brønstad, Trygve Hausken, Bharath Halandur Nagaraja, Arvid Lundervold, Birgitte Berentsen
Format: Article
Language:English
Published: F1000 Research Ltd 2023-01-01
Series:Open Research Europe
Subjects:
Irritable bowel syndrome
anxiety
fatigue
machine learning
classification
eng
Online Access:https://open-research-europe.ec.europa.eu/articles/3-19/v1

Internet

https://open-research-europe.ec.europa.eu/articles/3-19/v1

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