Machine Learning Enables Single-Score Assessment of MASLD Presence and Severity

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...

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Detalles Bibliográficos
Autores principales: Chen, Robert, Petrazzini, Ben Omega, Nadkarni, Girish, Rocheleau, Ghislain, Bansal, Meena, Do, Ron
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10635186/
https://www.ncbi.nlm.nih.gov/pubmed/37961657
http://dx.doi.org/10.1101/2023.10.24.23297423

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10635186/
https://www.ncbi.nlm.nih.gov/pubmed/37961657
http://dx.doi.org/10.1101/2023.10.24.23297423

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