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

Spillover effects on health outcomes in low- and middle-income countries: a systematic review

(2017) Jade Benjamin-Chung et al.   INTERNATIONAL JOURNAL OF EPIDEMIOLOGY

Non-communicable disease syndemics: poverty, depression, and diabetes among low-income populations

(2017) Emily Mendenhall et al.   LANCET

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

(2017) Stephen F. Weng et al.   PLoS One

Ten-year (2002–2012) cardiovascular disease incidence and all-cause mortality, in urban Greek population: The ATTICA Study

(2015) Demosthenes B. Panagiotakos et al.   INTERNATIONAL JOURNAL OF CARDIOLOGY

Deep learning

(2015) Yann LeCun et al.   NATURE

Machine learning applications in cancer prognosis and prediction

(2015) Konstantina Kourou et al.   Computational and Structural Biotechnology Journal

Trends in cardiovascular diseases and cancer mortality in 45 countries from five continents (1980–2010)

(2013) Fábio Araújo et al.   European Journal of Preventive Cardiology

Coronary Heart Disease in Young Adults

(2012) Jessica B. Rubin et al.   Current Atherosclerosis Reports

Machine learning and radiology

(2012) Shijun Wang et al.   MEDICAL IMAGE ANALYSIS

Total cardiovascular disease risk assessment

(2011) Marie T. Cooney et al.   CURRENT OPINION IN CARDIOLOGY

Data Mining in Healthcare and Biomedicine: A Survey of the Literature

(2011) Illhoi Yoo et al.   JOURNAL OF MEDICAL SYSTEMS

What is my risk of developing cardiovascular disease?

(2009) Ian M. Graham et al.   EUROPEAN JOURNAL OF CARDIOVASCULAR PREVENTION & REHABILITATION

Value and Limitations of Existing Scores for the Assessment of Cardiovascular Risk

(2009) Marie Therese Cooney et al.   JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY

Dietary patterns and 5-year incidence of cardiovascular disease: A multivariate analysis of the ATTICA study

(2008) D. Panagiotakos et al.   NUTRITION METABOLISM AND CARDIOVASCULAR DISEASES