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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Published inThe EPMA journal Vol. 10; no. 4; pp. 445 - 464
Main Authors 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
Format Journal Article
LanguageEnglish
Published Cham Springer International Publishing 01.12.2019
BioMed Central Ltd
Springer Nature B.V
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