Combining explainable machine learning, demographic and multi-omic data to inform precision medicine strategies for inflammatory bowel disease.
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| Title: | Combining explainable machine learning, demographic and multi-omic data to inform precision medicine strategies for inflammatory bowel disease. |
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| Authors: | Gardiner LJ; IBM Research Europe-Daresbury, The Hartree Centre, Warrington, United Kingdom., Carrieri AP; IBM Research Europe-Daresbury, The Hartree Centre, Warrington, United Kingdom., Bingham K; REPROCELL Europe Ltd, Glasgow, Scotland, United Kingdom., Macluskie G; REPROCELL Europe Ltd, Glasgow, Scotland, United Kingdom., Bunton D; REPROCELL Europe Ltd, Glasgow, Scotland, United Kingdom., McNeil M; Precision Medicine Scotland Innovation Centre, Teaching and Learning Building, Queen Elizabeth University Hospital, Glasgow, Scotland, United Kingdom., Pyzer-Knapp EO; IBM Research Europe-Daresbury, The Hartree Centre, Warrington, United Kingdom. |
| Source: | PloS one [PLoS One] 2022 Feb 23; Vol. 17 (2), pp. e0263248. Date of Electronic Publication: 2022 Feb 23 (Print Publication: 2022). |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1932-6203 |
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| DOI: | 10.1371/journal.pone.0263248 |
