Development of a transformer model for predicting the prognosis of patients with hepatocellular carcinoma after radiofrequency ablation.

Masaya SatoMakoto MoriyamaTsuyoshi FukumotoTomoharu YamadaTaijiro WakeRyo NakagomiTakuma NakatsukaTatsuya MinamiKoji UchinoKenichiro EnookuHayato NakagawaShuichiro ShiinaKazuhiko KoikeMitsuhiro FujishiroRyosuke Tateishi

Published in: Hepatology international (2023)

We developed a novel transformer model for personalized prediction of the overall survival in HCC patients after RFA treatment. The current model may offer a personalized survival prediction schema for patients with HCC undergoing RFA treatment.

Keyphrases

radiofrequency ablation
end stage renal disease
ejection fraction
chronic kidney disease
prognostic factors
peritoneal dialysis
combination therapy
patient reported outcomes
smoking cessation
replacement therapy