Machine learning improves the prediction of significant fibrosis in Asian patients with metabolic dysfunction-associated steatotic liver disease - The Gut and Obesity in Asia (GO-ASIA) Study.

Nipun Verma Ajay Kumar DusejaManu MehtaArka DeHuapeng LinVincent Wai-Sun WongGrace Lai-Hung WongRuveena Bhavani RajaramWah-Kheong ChanSanjiv Mahadeva Ming-Hua ZhengWen-Yue LiuSombat TreeprasertsukThaninee PrasoppokakornSatoru KakizakiYosuke SekiKazunori KasamaPhunchai CharatcharoenwitthayaPhalath SathirawichAnand V KulkarniHery Djagat PurnomoLubna KamaniYeong Yeh LeeMung Seong WongEunice X X TanDan Yock Young

Published in: Alimentary pharmacology & therapeutics (2024)

ML with clinical, anthropometric data and simple blood investigations perform better than FIB-4 for ruling out SF in biopsy-proven Asian NAFLD/MASLD patients.

Keyphrases

machine learning
end stage renal disease
ejection fraction
chronic kidney disease
newly diagnosed
metabolic syndrome
type diabetes
peritoneal dialysis
prognostic factors
body composition
weight loss
oxidative stress
liver fibrosis
artificial intelligence
deep learning
ultrasound guided
patient reported