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Identification of clinical phenotypes associated with poor prognosis in patients with nonalcoholic fatty liver disease via unsupervised machine learning.

Takanori ItoHikaru MorookaHirokazu TakahashiHideki FujiiMichihiro IwakiHideki HayashiHidenori ToyodaSatoshi OedaHideyuki HyogoMiwa KawanakaAkihiro MorishitaKensuke MunekageKazuhito KawataTsubasa TsutsumiKoji SawadaTatsuji MaeshiroHiroshi TobitaYuichi YoshidaMasafumi NaitoAsuka ArakiShingo ArakakiTakumi KawaguchiHidenao NoritakeMasafumi OnoTsutomu MasakiSatoshi YasudaEiichi TomitaMasato YonedaAkihiro TokushigeMasatoshi IshigamiYoshihiro KamadaShinichiro UedaShinichi AishimaYoshio SumidaHirokazu TakahashiTakeshi Okanouenull null
Published in: Journal of gastroenterology and hepatology (2023)
Our clustering approach found that the FIB-4 index is an important predictor of mortality in NAFLD patients regardless of BMI. Additionally, non-liver-related diseases were identified as the causes of death in NAFLD patients with low FIB-4 index.
Keyphrases
  • poor prognosis
  • machine learning
  • end stage renal disease
  • long non coding rna
  • liver fibrosis
  • newly diagnosed
  • ejection fraction
  • chronic kidney disease
  • peritoneal dialysis
  • prognostic factors
  • type diabetes