Atrial fibrillation in older patients and artificial intelligence: a quantitative demonstration of a link with some of the geriatric multidimensional assessment tools—a preliminary report-Reference-Cited by-同舟云学术

Atrial fibrillation in older patients and artificial intelligence: a quantitative demonstration of a link with some of the geriatric multidimensional assessment tools—a preliminary report

Published:2020-10-23 Issue:2 Volume:33 Page:451-455
ISSN:1720-8319
Container-title:Aging Clinical and Experimental Research
language:en
Short-container-title:Aging Clin Exp Res

Author:

Fumagalli Stefano^ORCID,Pelagalli Giulia,Franci Montorzi Riccardo,Li Ko-Mai,Chang Ming-Shiung,Chuang Shu-Chen,Lebrun Emanuele,Fumagalli Carlo,Ricciardi Giulia,Ungar Andrea,Marchionni Niccolò

Publisher

Springer Science and Business Media LLC

Subject

Geriatrics and Gerontology,Ageing

Link

http://link.springer.com/content/pdf/10.1007/s40520-020-01723-9.pdf

Reference15 articles.

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2. Calzolari I, Fumagalli S, Marchionni N et al (2009) Polyunsaturated fatty acids and cardiovascular disease. Curr Pharm Des 15:4094–4102

3. Sim I (2019) Mobile devices and health. N Engl J Med 381:956–968. https://doi.org/10.1056/NEJMra1806949

4. Attia ZI, Noseworthy PA, Lopez-Jimenez F et al (2019) An artificial intelligence-enabled ECG algorithm for the identification of patients with atrial fibrillation during sinus rhythm: a retrospective analysis of outcome prediction. Lancet 394:861–867. https://doi.org/10.1016/s0140-6736(19)31721-0

5. Fumagalli S, Nieuwlaat R, Tarantini F et al (2012) Characteristics, management and prognosis of elderly patients in the Euro Heart Survey on atrial fibrillation. Aging Clin Exp Res 24:517–523. https://doi.org/10.3275/8408

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