Machine Learning Enables Single-Score Assessment of MASLD Presence and Severity
Robert Chen,
Ben Omega Petrazzini,
Girish Nadkarni
et al.
Abstract:Metabolic dysfunction-associated steatotic liver disease (MASLD) affects 30% of the global population but is often underdiagnosed. To fill this diagnostic gap, we developed a digital score reflecting presence and severity of MASLD. We fitted a machine learning model to electronic health records from 37,212 UK Biobank participants with proton density fat fraction measurements and/or a MASLD diagnosis to generate a "MASLD score". In holdout testing, our model achieved areas under the receiver-operating curve of … Show more
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