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Kartoun U, Njoku K, Yadete T, Ravid S, Koski E, Ogallo W, Bettencourt-Silva J, Mulligan N, Hu J, Liu J, Stappenbeck T, Anand V. Subtyping Gastrointestinal Surgical Outcomes from Real World Data: A Comprehensive Analysis of UK Biobank. AMIA Annu Symp Proc 2024; 2023:426-435. [PMID: 38222374 PMCID: PMC10785930] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 01/16/2024]
Abstract
Chronic gastrointestinal (GI) conditions, such as inflammatory bowel diseases (IBD), offer a promising opportunity to create classification systems that can enhance the accuracy of predicting the most effective therapies and prognosis for each patient. Here, we present a novel methodology to explore disease subtypes using our open-sourced BiomedSciAI toolkit. Applying methods available in this toolkit on the UK Biobank, including subpopulation-based feature selection and multi-dimensional subset scanning, we aimed to discover unique subgroups from GI surgery cohorts. Of a 12,073-patient cohort, a subgroup of 440 IBD patients was discovered with an increased risk of a subsequent GI surgery (OR: 2.21, 95% CI [1.81-2.69]). We iteratively demonstrate the discovery process using an additional cohort (with a narrower definition of GI surgery). Our results show that the iterative process can refine the subgroup discovery process and generate novel hypotheses to investigate determinants of treatment response.
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Affiliation(s)
| | - Kingsley Njoku
- Department of Internal Medicine, Morehouse School of Medicine, Atlanta, GA, USA
| | - Tesfaye Yadete
- Department of Inflammation and Immunity, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Sivan Ravid
- Healthcare Informatics, IBM Research-Haifa, Mount Carmel Haifa, Israel
| | | | | | | | | | | | - Julia Liu
- Department of Internal Medicine, Morehouse School of Medicine, Atlanta, GA, USA
| | - Thaddeus Stappenbeck
- Department of Inflammation and Immunity, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA
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