Machine learning: a long way from implementation in cardiovascular disease

Affiliations

¹ Institute of Health Informatics, University College London, London, UK.
² Institute of Health Informatics, University College London, London, UK ami.banerjee@ucl.ac.uk.

Editorial

Suliang Chen et al. Heart. 2020 Mar.

. 2020 Mar;106(5):318-320.

doi: 10.1136/heartjnl-2019-316030. Epub 2020 Jan 7.

¹ Institute of Health Informatics, University College London, London, UK.
² Institute of Health Informatics, University College London, London, UK ami.banerjee@ucl.ac.uk.

No abstract available

Keywords: electronic medical records; epidemiology; heart failure with preserved ejection fraction.

Conflict of interest statement

Competing interests: None declared.

Identification of novel pheno-groups in heart failure with preserved ejection fraction using machine learning.
Hedman ÅK, Hage C, Sharma A, Brosnan MJ, Buckbinder L, Gan LM, Shah SJ, Linde CM, Donal E, Daubert JC, Mälarstig A, Ziemek D, Lund L. Hedman ÅK, et al. Heart. 2020 Mar;106(5):342-349. doi: 10.1136/heartjnl-2019-315481. Epub 2020 Jan 7. Heart. 2020. PMID: 31911501