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Conclusion: We describe an algorithm combining rule-based NLP, identification of cardiometabolic risk factors and alcohol use from laboratory and pharmacy records, that identified steatosis and classified SLD with excellent accuracy, and identifies a significantly higher number of patients with SLD, compared to ICD 9/10 codes

doi: 10.1172/jci.insight.159863, 82 KonanurV

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Going on to work in the chemistry department at UCL, Moore had close ties with Sir Edward Sharpey-Schafer who fostered his interest in the digestive system

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