The potential of the transformer-based survival analysis model, SurvTrace, for predicting recurrent cardiovascular events and stratifying high-risk patients with ischemic heart disease.
Hiroki ShinoharaSatoshi KoderaYugo NagaeTakashi HirumaAtsushi KobayashiMasataka SatoShinnosuke SawanoTatsuya KamonKoichi NaritaKazutoshi HiroseHiroyuki KiriyamaAkihito SaitoMizuki MiuraShun MinatsukiHironobu KikuchiNorifumi TakedaHiroshi AkazawaHiroyuki MoritaIssei KomuroPublished in: PloS one (2024)
This study based on real-world cardiovascular patient data underscores the potential of the Transformer-based survival analysis model, SurvTrace, for predicting recurrent cardiovascular events and stratifying high-risk patients.