A k-Nearest Neighbours Classifier for Predicting Catheter Ablation Responses Using Noncontact Electrograms During Persistent Atrial Fibrillation

The mechanisms for the initiation and maintenance of atrial fibrillation (AF) are still poorly understood. Identification of atrial sites which are effective ablation targets remains challenging. Supervised machine learning has emerged as an effective tool for handling classification problems with m...

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Bibliographische Detailangaben

Hauptverfasser:	Li, Xin, Chu, Gavin S, Almeida, Tiago P, Salinet, Joao L, Mistry, Amar R, Vali, Zakariyya, Stafford, Peter J, Schlindwein, Fernando S, Andre Ng, G
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Catheters Feature extraction Lesions Mathematical model Predictive models Training
Online-Zugang:	Volltext
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