Can machine-learning improve cardiovascular risk prediction using routine clinical data?

Citation: Weng SF, Reps J, Kai J, Garibaldi JM, Qureshi N (2017) Can machine-learning improve cardiovascular risk prediction using routine clinical data? This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. The authors will make their data available upon specific requests subject to the requestor obtaining ethical and research approvals from the Clinical Practice Research Datalink Independent Scientific Advisory Committee (https://www.cprd.com/intro.asp) at the UK Medicines and Health Products Regulatory Agency. Funding: This paper presents independent research funded by the National Institute for Health Research School for Primary Care Research (NIHR SPCR): personal training fellowship award for SW from 2015-2018. The views expressed are those of the authors and not necessarily those of the NIHR, the NHS, or the Department of Health.