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

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In
Predictive, Preventive and Personalised Medical Approach, Phenotyping and Multi-omic Tools Applied to Chronic Inflammation, Healing Impairment, Cancer, Cardiovascular and Neurodegenerative Disorders / Issue Editors: Babak Baban, Rostyslav Bubnov, Vincenzo Costigliola, Yoshihiro Kokubo, Mahmood Mozaffari, Byong Chul Yoo, Xianquan Zhan …

In
The EPMA journal 10(4), Seiten/Artikel-Nr.:445-464

ImpressumLondon : BioMed Central

ISSN1878-5085

Online
DOI: 10.18154/RWTH-2019-11583
DOI: 10.1007/s13167-019-00188-9

URL: http://publications.rwth-aachen.de/record/774482/files/774482.pdf

Einrichtungen

  1. Klinik und Lehrstuhl für Innere Medizin (mit dem Schwerpunkt Kardiologie und Pneumologie) (531010-2)


Thematische Einordnung (Klassifikation)
DDC: 610

OpenAccess:
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Dokumenttyp
Journal Article/Contribution to a book

Format
online

Sprache
English

Anmerkung
Peer reviewed article

Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-85075353962
WOS Core Collection: WOS:000498018500001
PubMed: pmid:31832118

Interne Identnummern
RWTH-2019-11583
Datensatz-ID: 774482

Beteiligte Länder
Belgium, Germany, Ireland, Netherlands, North Ireland, Switzerland

Lizenzstatus der Zeitschrift

 GO


Medline ; Creative Commons Attribution CC BY 4.0 ; OpenAccess ; Clarivate Analytics Master Journal List ; IF < 5 ; JCR ; PubMed Central ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection

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Document types > Articles > Journal Articles
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Faculty of Medicine (Fac.10)
531010\-2
Public records
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 Record created 2019-12-09, last modified 2025-10-17


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