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Stratification of diabetes in the context of comorbidities, using representation learning and topological data analysis.
Wamil, Malgorzata; Hassaine, Abdelaali; Rao, Shishir; Li, Yikuan; Mamouei, Mohammad; Canoy, Dexter; Nazarzadeh, Milad; Bidel, Zeinab; Copland, Emma; Rahimi, Kazem; Salimi-Khorshidi, Gholamreza.
Affiliation
  • Wamil M; Deep Medicine, Oxford Martin School, University of Oxford, Oxford, UK. malgorzata.wamil@gtc.ox.ac.uk.
  • Hassaine A; Mayo Clinic Healthcare, 15 Portland Place, London, UK. malgorzata.wamil@gtc.ox.ac.uk.
  • Rao S; Deep Medicine, Oxford Martin School, University of Oxford, Oxford, UK.
  • Li Y; Nuffield Department of Women's and Reproductive Health, Medical Science Division, University of Oxford, Oxford, UK.
  • Mamouei M; Deep Medicine, Oxford Martin School, University of Oxford, Oxford, UK.
  • Canoy D; Nuffield Department of Women's and Reproductive Health, Medical Science Division, University of Oxford, Oxford, UK.
  • Nazarzadeh M; Deep Medicine, Oxford Martin School, University of Oxford, Oxford, UK.
  • Bidel Z; Nuffield Department of Women's and Reproductive Health, Medical Science Division, University of Oxford, Oxford, UK.
  • Copland E; Deep Medicine, Oxford Martin School, University of Oxford, Oxford, UK.
  • Rahimi K; Nuffield Department of Women's and Reproductive Health, Medical Science Division, University of Oxford, Oxford, UK.
  • Salimi-Khorshidi G; Deep Medicine, Oxford Martin School, University of Oxford, Oxford, UK.
Sci Rep ; 13(1): 11478, 2023 07 16.
Article in En | MEDLINE | ID: mdl-37455284
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Diabetes Mellitus / Unsupervised Machine Learning Type of study: Etiology_studies / Prognostic_studies / Risk_factors_studies Limits: Aged / Female / Humans / Male / Middle aged Language: En Journal: Sci Rep Year: 2023 Document type: Article Affiliation country: Country of publication:
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Diabetes Mellitus / Unsupervised Machine Learning Type of study: Etiology_studies / Prognostic_studies / Risk_factors_studies Limits: Aged / Female / Humans / Male / Middle aged Language: En Journal: Sci Rep Year: 2023 Document type: Article Affiliation country: Country of publication: