Structured, Harmonized, and Interoperable Integration of Clinical Routine Data to Compute Heart Failure Risk Scores

Risk prediction in patients with heart failure (HF) is essential to improve the tailoring of preventive, diagnostic, and therapeutic strategies for the individual patient, and effectively use health care resources. Risk scores derived from controlled clinical studies can be used to calculate the ris...

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Principais autores:	Kim K. Sommer, Ali Amr, Udo Bavendiek, Felix Beierle, Peter Brunecker, Henning Dathe, Jürgen Eils, Maximilian Ertl, Georg Fette, Matthias Gietzelt, Bettina Heidecker, Kristian Hellenkamp, Peter Heuschmann, Jennifer D. E. Hoos, Tibor Kesztyüs, Fabian Kerwagen, Aljoscha Kindermann, Dagmar Krefting, Ulf Landmesser, Michael Marschollek, Benjamin Meder, Angela Merzweiler, Fabian Prasser, Rüdiger Pryss, Jendrik Richter, Philipp Schneider, Stefan Störk, Christoph Dieterich
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	MDPI AG 2022-05-01
סדרה:	Life
נושאים:	medical informatics initiative HiGHmed medical data integration center clinical routine data heart failure risk prediction scores
גישה מקוונת:	https://www.mdpi.com/2075-1729/12/5/749
תגים:	הוספת תג אין תגיות, היה/י הראשונ/ה לתייג את הרשומה!