Artificial intelligence supported patient self-care in chronic heart failure: a paradigm shift from reactive to predictive, preventive and personalised care

Heart failure (HF) is one of the most complex chronic disorders with high prevalence, mainly due to the ageing population and better treatment of underlying diseases. Prevalence will continue to rise and is estimated to reach 3% of the population in Western countries by 2025. It is the most importan...

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Detalles Bibliográficos
Autores principales: Barrett, Matthew, Boyne, Josiane, Brandts, Julia, Brunner-La Rocca, Hans-Peter, De Maesschalck, Lieven, De Wit, Kurt, Dixon, Lana, Eurlings, Casper, Fitzsimons, Donna, Golubnitschaja, Olga, Hageman, Arjan, Heemskerk, Frank, Hintzen, André, Helms, Thomas M., Hill, Loreena, Hoedemakers, Thom, Marx, Nikolaus, McDonald, Kenneth, Mertens, Marc, Müller-Wieland, Dirk, Palant, Alexander, Piesk, Jens, Pomazanskyi, Andrew, Ramaekers, Jan, Ruff, Peter, Schütt, Katharina, Shekhawat, Yash, Ski, Chantal F., Thompson, David R., Tsirkin, Andrew, van der Mierden, Kay, Watson, Chris, Zippel-Schultz, Bettina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2019
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6882991/
https://www.ncbi.nlm.nih.gov/pubmed/31832118
http://dx.doi.org/10.1007/s13167-019-00188-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6882991/
https://www.ncbi.nlm.nih.gov/pubmed/31832118
http://dx.doi.org/10.1007/s13167-019-00188-9

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