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4 in total

1. Predicting cerebral infarction in patients with atrial fibrillation using machine learning: The Fushimi AF registry.

Authors: Hidehisa Nishi; Naoya Oishi; Hisashi Ogawa; Kishida Natsue; Kento Doi; Osamu Kawakami; Tomokazu Aoki; Shunichi Fukuda; Masaharu Akao; Tetsuya Tsukahara
Journal: J Cereb Blood Flow Metab Date: 2021-12-01 Impact factor: 6.960

2. Prognostic implications of valvular heart disease in patients with non-valvular atrial fibrillation.

Authors: Athanasios Samaras; Eleni Vrana; Anastasios Kartas; Dimitrios V Moysidis; Andreas S Papazoglou; Ioannis Doundoulakis; George Fotos; Georgios Rampidis; Dimitrios G Tsalikakis; Georgios Efthimiadis; Haralambos Karvounis; Apostolos Tzikas; George Giannakoulas
Journal: BMC Cardiovasc Disord Date: 2021-09-18 Impact factor: 2.298

3. Mitral Regurgitation and Body Mass Index Increase the Predictability of Perioperative Bleeding in Anticoagulated Patients With Nonvalvular Atrial Fibrillation.

Authors: Hao Huang; Chi Cai; Wei Hua; Nixiao Zhang; Hongxia Niu; Xuhua Chen; Jing Wang; Yuhe Jia; Jianmin Chu; Min Tang; Shu Zhang
Journal: Front Cardiovasc Med Date: 2022-03-28

4. Season of Birth and Cardiovascular Mortality in Atrial Fibrillation: A Population-Based Cohort Study.

Authors: Ying X Gue; Arnaud Bisson; Alexandre Bodin; Julien Herbert; Gregory Y H Lip; Laurent Fauchier
Journal: J Cardiovasc Dev Dis Date: 2021-12-10

4 in total