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Machine learning in primary biliary cholangitis: A novel approach for risk stratification.

Alessio GerussiDamiano VerdaDavide Paolo BernasconiMarco CarboneAtsumasa KomoriMasanori AbeMie InaoTadashi NamisakiSatoshi MochidaHitoshi YoshijiGideon HirschfieldKeith D LindorAlbert ParesChristophe CorpechotNora CazzagonAnnarosa FloreaniMarco MarzioniDomenico AlvaroUmberto Vespasiani-GentilucciLaura CristoferiMaria Grazia ValsecchiMarco MuselliBettina E HansenAtsushi TanakaInvernizzi Pietro
Published in: Liver international : official journal of the International Association for the Study of the Liver (2022)
Unsupervised ML identified four novel groups of PBC patients with different phenotypes and prognosis and highlighted subtle variations of albumin within the normal range. Therapy-induced increase of albumin >1.2 x LLN should be considered a treatment goal.
Keyphrases
  • machine learning
  • high glucose
  • artificial intelligence
  • big data
  • drug induced
  • endothelial cells
  • stem cells
  • oxidative stress
  • smoking cessation