Estudios de cohorte

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María Florencia Grande Ratti

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El Hospital Italiano en Medline 

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Grande Ratti MF. Estudios de cohorte. Rev Hosp Ital B.Aires [Internet]. 2016 Mar. 30 [cited 2026 Apr. 27];36(1):17-8. Available from: https://ojs.hospitalitaliano.org.ar/index.php/revistahi/article/view/690

Referencias

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Chugh SS, Havmoeller R, Narayanan K, et al. Worldwide epidemiology of atrial fibrillation: a Global Burden of Disease 2010 Study. Circulation. 2014;129(8):837-47. DOI: https://doi.org/10.1161/CIRCULATIONAHA.113.005119

Lip GY, Brechin CM, Lane DA. The global burden of atrial fibrillation and stroke: a systematic review of the epidemiology of atrial fibrillation in regions outside North America and Europe. Chest. 2012;142(6):1489-98. DOI: https://doi.org/10.1378/chest.11-2888

Mastriani M, Gómez A, Martínez M y cols. Sistema inteligente de adquisición de señales biomédicas y su vinculación con una historia clínica electrónica HIBA. Simposio de Informática en Salud-33 JAIIO. Córdoba, República Argentina; 2004.

Mohebbi M, Ghassemian H. Prediction of paroxysmal atrial fibrillation using recurrence plot-based features of the RR-interval signal. Physiol Meas. 2011;32(8):1147-62. DOI: https://doi.org/10.1088/0967-3334/32/8/010

Patel NJ, Deshmukh A, Pant S, et al. Contemporary trends of hospitalization for atrial fibrillation in the United States, 2000 through 2010: implications for healthcare planning. Circulation. 2014;129(23):2371-9. DOI: https://doi.org/10.1161/CIRCULATIONAHA.114.008201

Perez MV, Dewey FE, Marcus R, et al. Electrocardiographic predictors of atrial fibrillation. Am Heart J. 2009;158(4):622-8. DOI: https://doi.org/10.1016/j.ahj.2009.08.002

Sovilj S, Van Oosterom A, Rajsman G, et al. ECG-based prediction of atrial fibrillation development following coronary artery bypass grafting. Physiol Meas. 2010;31(5):663-77. DOI: https://doi.org/10.1088/0967-3334/31/5/005

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