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 VermaAjay Kumar DusejaManu MehtaArka DeHuapeng LinVincent Wai-Sun WongGrace Lai-Hung WongRuveena Bhavani RajaramWah-Kheong ChanSanjiv MahadevaMing-Hua ZhengWen-Yue LiuSombat TreeprasertsukThaninee PrasoppokakornSatoru KakizakiYosuke SekiKazunori KasamaPhunchai CharatcharoenwitthayaPhalath SathirawichAnand V KulkarniHery Djagat PurnomoLubna KamaniYeong Yeh LeeMung Seong WongEunice X X TanDan Yock YoungPublished 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
- insulin resistance
- oxidative stress
- body composition
- peritoneal dialysis
- electronic health record
- patient reported outcomes
- weight gain
- liver fibrosis
- deep learning
- fine needle aspiration
- data analysis