Predictors of sinus rhythm after electrical cardioversion of atrial fibrillation: results from a data mining project on the Flec-SL trial data set

Oto, Emre; Okutucu, SERCAN; Katircioglu-Ozturk, Deniz; GÜVENİR, H.; Karaagaoglu, AHMET; Borggrefe, Martin; Breithardt, Guenter; Goette, Andreas; Ravens, Ursula; Steinbeck, Gerhard; Wegscheideril, Karl; Oto, Ali; Kirchhof, Paulus

doi:10.1093/europace/euw144

Predictors of sinus rhythm after electrical cardioversion of atrial fibrillation: results from a data mining project on the Flec-SL trial data set

Oto E., Okutucu S., Katircioglu-Ozturk D., GÜVENİR H. A., Karaagaoglu E., Borggrefe M., ...Daha Fazla

EUROPACE, cilt.19, sa.6, ss.921-928, 2017 (SCI-Expanded, Scopus)

Yayın Türü: Makale / Tam Makale
Cilt numarası: 19 Sayı: 6
Basım Tarihi: 2017
Doi Numarası: 10.1093/europace/euw144
Dergi Adı: EUROPACE
Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
Sayfa Sayıları: ss.921-928
Açık Arşiv Koleksiyonu: AVESİS Açık Erişim Koleksiyonu
Hacettepe Üniversitesi Adresli: Evet

Özet

Aims Data mining is the computational process to obtain information from a data set and transform it for further use. Herein, through data mining with supportive statistical analyses, we identified and consolidated variables of the Flecainide ShortLong (Flec-SL-AFNET 3) trial dataset that are associated with the primary outcome of the trial, recurrence of persistent atrial fibrillation (AF) or death.