The hidden epidemic : Uncovering incidental fatty liver disease and its metabolic comorbidities by datamining in a hospital data lake – A real-world cohort study
Aims: To identify individuals with incidental fatty liver disease (FLD), and to evaluate its prevalence, metabolic co-morbidities and impact on follow-up. Methods: We leveraged the data-lake of Helsinki Uusimaa Hospital district (Finland) with a population of 1.7 million (specialist and primary care). A phrase recognition script on abdominal imaging reports (2008–2020) identified/excluded FLD or c