Machine learning to predict cardiovascular risk
Author:
Affiliation:
1. Clinical Medicine Department Miguel Hernandez University San Juan de Alicante Spain
2. Public Health Department, Stritch School of Medicine Universidad Loyola Chicago Maywood IL USA
Publisher
Hindawi Limited
Subject
General Medicine
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1111/ijcp.13389
Reference31 articles.
1. World Health Organization.World Health Statistics 2017: monitoring health for the SDGs.http://www.who.int/gho/publications/world_health_statistics/2017/en/. Accessed September 18 2018.
2. Decision‐making using absolute cardiovascular risk reduction and incremental cost‐effectiveness ratios: a case study;Ker JA;Cardiovasc J Afr,2008
3. Framingham Heart Study.2018.https://www.framinghamheartstudy.org/. Accessed September 18 2018.
4. Some Factors Associated with the Development of Coronary Heart Disease—Six Years' Follow-Up Experience in the Framingham Study
5. Some methodologic problems in the long-term study of cardiovascular disease: Observations on the Framingham study
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