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Machine learning methodologies versus cardiovascular risk scores, in predicting disease risk

Crossref DOI link: https://doi.org/10.1186/s12874-018-0644-1

Published Online: 2018-12-29

Published Print: 2018-12

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Dimopoulos, Alexandros C.

Nikolaidou, Mara

Caballero, Francisco Félix

Engchuan, Worrawat

Sanchez-Niubo, Albert

Arndt, Holger

Ayuso-Mateos, José Luis

Haro, Josep Maria

Chatterji, Somnath

Georgousopoulou, Ekavi N.

Pitsavos, Christos

Panagiotakos, Demosthenes B.
Funding

Funding for this research was provided by:

Horizon 2020 (635316)

Hellenic Cardiological Society (HCS2002)
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Article History

Received: 19 March 2018

Accepted: 13 December 2018

First Online: 29 December 2018

Authors’ information

: Somnath ChatterjiHealth Metrics and Measurement, World Health Organization, Geneva, Switzerland.

: The authors declare that they have obtained written consent from all participants of the study, and the study has been granted ethical approval by the Institutional Ethics Committees of the First Cardiology Clinic, School of Medicine, University of Athens and Harokopio University and was conducted according to the medical ethics defined in the Declaration of Helsinki.

: Not applicable.

: Demosthenes Panagiotakos is a member of the editorial board of BMC Medical Research Methodology. The rest of the authors declare no conflicts of interest related to this research work.

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