Gut microbiota-based machine-learning signature for the diagnosis of alcohol-associated and metabolic dysfunction-associated steatotic liver disease - Park, In-gyu; Yoon, Sang Jun; Won, Sung-min; Oh, Ki-Kwang; Hyun, Ji Ye; Suk, Ki Tae; Lee, Unjoo (Scientific reports, 2024)
Keywords: 631/114; 631/326; 692/4020; Adult; Aged; Alcoholic-associated liver disease; Algorithms; Cirrhosis; Diagnosis; Fatty Liver - diagnosis; Fatty Liver - metabolism; Fatty Liver - microbiology; Feces - microbiology; Female; Gastrointestinal Microbiome; Gut microbiota; Hepatocellular carcinoma; Humanities and Social Sciences; Humans; Intestinal microflora; Learning algorithms; Liver cancer; Liver cirrhosis; Liver diseases; Liver Diseases, Alcoholic - diagnosis; Liver Diseases, Alcoholic - metabolism; Liver Diseases, Alcoholic - microbiology; Machine Learning; Male; Metabolic dysfunction-associated steatotic liver disease; Metabolism; Microbiota; Middle Aged; multidisciplinary; Neural networks; Principal components analysis; RNA, Ribosomal, 16S - genetics; ROC Curve; rRNA 16S; Science; Science (multidisciplinary); Microbiota; Diagnosis; Metabolic dysfunction-associated steatotic liver disease; Alcoholic-associated liver disease; Machine learning