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Open Access
Peer-reviewed
Research Article
An exploratory machine learning study on paediatric abdominal pain phenotyping and prediction
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Kazuya Takahashi ,
Roles Conceptualization, Formal analysis, Funding acquisition, Writing – original draft
* E-mail: kazuya911@med.niigata-u.ac.jp
Affiliations Centre for Neuroscience and Trauma, Wingate Institute of Neurogastroenterology, Blizard Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, United Kingdom, Division of Gastroenterology and Hepatology, Graduate School of Medical and Dental Sciences, Niigata University, Niigata, Japan
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Michalina Lubiatowska,
Roles Writing – review & editing
Affiliation Centre for Neuroscience and Trauma, Wingate Institute of Neurogastroenterology, Blizard Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, United Kingdom
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Huma Shehwana,
Roles Formal analysis, Writing – review & editing
Affiliation Department of Biological Sciences, National University of Medical Sciences, Rawalpindi, Pakistan
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James K. Ruffle,
Roles Supervision, Writing – review & editing
Affiliations Centre for Neuroscience and Trauma, Wingate Institute of Neurogastroenterology, Blizard Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, United Kingdom, Queen Square Institute of Neurology, University College London, London, United Kingdom
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John A. Williams,
Roles Supervision, Writing – review & editing
Affiliations College of Medical and Dental Sciences, Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, United Kingdom, Health Data Research United Kingdom, Midlands Site, Birmingham, United Kingdom, Centre for Health Data Science, Birmingham, United Kingdom
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Animesh Acharjee,
Roles Supervision, Writing – review & editing
Affiliations College of Medical and Dental Sciences, Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, United Kingdom, Health Data Research United Kingdom, Midlands Site, Birmingham, United Kingdom, Centre for Health Data Science, Birmingham, United Kingdom
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Shuji Terai,
Roles Writing – review & editing
Affiliation Division of Gastroenterology and Hepatology, Graduate School of Medical and Dental Sciences, Niigata University, Niigata, Japan
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Georgios V. Gkoutos,
Roles Supervision, Writing – original draft
Affiliations College of Medical and Dental Sciences, Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, United Kingdom, Health Data Research United Kingdom, Midlands Site, Birmingham, United Kingdom, Centre for Health Data Science, Birmingham, United Kingdom
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Humayoon Satti ,
Roles Conceptualization, Data curation, Writing – review & editing
¶‡ H.Satti and Q.Aziz are joint senior authors.
Affiliation Department of Biological Sciences, National University of Medical Sciences, Rawalpindi, Pakistan
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Qasim Aziz
Roles Conceptualization, Supervision, Writing – review & editing
¶‡ H.Satti and Q.Aziz are joint senior authors.
Affiliation Centre for Neuroscience and Trauma, Wingate Institute of Neurogastroenterology, Blizard Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, United Kingdom
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An exploratory machine learning study on paediatric abdominal pain phenotyping and prediction
- Kazuya Takahashi,
- Michalina Lubiatowska,
- Huma Shehwana,
- James K. Ruffle,
- John A. Williams,
- Animesh Acharjee,
- Shuji Terai,
- Georgios V. Gkoutos,
- Humayoon Satti,
- Qasim Aziz
- Published: November 5, 2025
- https://doi.org/10.1371/journal.pone.0336215