Machine learning approaches to enhance diagnosis and staging of patients with MASLD using routinely available clinical information.
Matthew McTeerDouglas ApplegatePeter MesenbrinkVlad RatziuJörn M SchattenbergElisabetta BugianesiAndreas GeierManuel Romero GomezJean-Francois DufourMattias EkstedtSven M FrancqueHannele Yki-JarvinenMichael AllisonLuca Vittorio ValentiLuca MieleMichael PavlidesJeremy CobboldGeorgios PapatheodoridisAdriaan G HolleboomDina TiniakosClifford BrassQuentin Mark AnsteePaolo Missiernull nullPublished in: PloS one (2024)
This study developed a series of ML models of accuracy ranging from 71.9-99.4% using only easily extractable and readily available information in predicting MASLD outcomes which are usually determined through highly invasive means.