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Machine-Learning-Based Prediction of 1-Year Arrhythmia Recurrence after Ventricular Tachycardia Ablation in Patients with Structural Heart Disease.

Ferenc KomlósiPatrik TóthGyula BohusPéter VámosiMarton TokodiNándor SzegediZoltán SallóKatalin PirosPéter PergeIstván OsztheimerPál ÁbrahámGábor SzéplakiBéla MerkelyLászló GellérKlaudia Vivien Nagy
Published in: Bioengineering (Basel, Switzerland) (2023)
Our ML models effectively predict VT recurrence post-ablation, aiding in identifying high-risk patients and tailoring follow-up strategies.
Keyphrases
  • machine learning
  • end stage renal disease
  • ejection fraction
  • newly diagnosed
  • chronic kidney disease
  • catheter ablation
  • peritoneal dialysis
  • radiofrequency ablation
  • atrial fibrillation
  • patient reported outcomes