Identifying metabolic dysfunction-associated steatotic liver disease in patients with hypertension and pre-hypertension: An interpretable machine learning approach.

"this longitudinal cohort data has been uploaded to the dryad database for public sharing by okamura et al.; availability of data and materials: the datasets analyzed during the current study are available in the dryad repository https://doi org/10 5061/dryad 8q0p192 19 contributorship: chen chen contributed to data collection analysis and interpretation. availability of data and materials: the datasets analyzed during the current study are available in the dryad"

"The authors declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article."

"Funding: The authors disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This work was supported by the National Natural Science Foundation of China (82170433)."