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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Detalles Bibliográficos
Autores principales: Sommer, Kim K., Amr, Ali, Bavendiek, Udo, Beierle, Felix, Brunecker, Peter, Dathe, Henning, Eils, Jürgen, Ertl, Maximilian, Fette, Georg, Gietzelt, Matthias, Heidecker, Bettina, Hellenkamp, Kristian, Heuschmann, Peter, Hoos, Jennifer D. E., Kesztyüs, Tibor, Kerwagen, Fabian, Kindermann, Aljoscha, Krefting, Dagmar, Landmesser, Ulf, Marschollek, Michael, Meder, Benjamin, Merzweiler, Angela, Prasser, Fabian, Pryss, Rüdiger, Richter, Jendrik, Schneider, Philipp, Störk, Stefan, Dieterich, Christoph
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9147139/
https://www.ncbi.nlm.nih.gov/pubmed/35629415
http://dx.doi.org/10.3390/life12050749

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9147139/
https://www.ncbi.nlm.nih.gov/pubmed/35629415
http://dx.doi.org/10.3390/life12050749

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