Big data approaches in heart failure research
The goal of this review is to summarize the state of big data analyses in the study of heart failure (HF). We discuss the use of big data in the HF space, focusing on “omics” and clinical data. We address some limitations of this data, as well as their future potential.
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| Hauptverfasser: | , , , , |
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| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
12 August 2020
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| In: |
Current heart failure reports
Year: 2020, Jahrgang: 17, Heft: 5, Pages: 213-224 |
| ISSN: | 1546-9549 |
| DOI: | 10.1007/s11897-020-00469-9 |
| Online-Zugang: | Verlag, kostenfrei, Volltext: https://doi.org/10.1007/s11897-020-00469-9
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| Verfasserangaben: | Jan D. Lanzer, Florian Leuschner, Rafael Kramann, Rebecca T. Levinson, Julio Saez-Rodriguez |
| Zusammenfassung: | The goal of this review is to summarize the state of big data analyses in the study of heart failure (HF). We discuss the use of big data in the HF space, focusing on “omics” and clinical data. We address some limitations of this data, as well as their future potential. |
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| Beschreibung: | Gesehen am 25.11.2021 |
| Beschreibung: | Online Resource |
| ISSN: | 1546-9549 |
| DOI: | 10.1007/s11897-020-00469-9 |