Cardiovascular disease risk prediction using automated machine learning: A prospective study of 423,604 UK Biobank participants

Machine Learning Methods Improve Prognostication, Identify Clinically Distinct Phenotypes, and Detect Heterogeneity in Response to Therapy in a Large Cohort of Heart Failure Patients

(2018) Tariq Ahmad et al.   Journal of the American Heart Association

Development and validation of QRISK3 risk prediction algorithms to estimate future risk of cardiovascular disease: prospective cohort study

(2017) Julia Hippisley-Cox et al.   BMJ-British Medical Journal

Development and validation of QRISK3 risk prediction algorithms to estimate future risk of cardiovascular disease: prospective cohort study

(2017) Julia Hippisley-Cox et al.   BMJ-British Medical Journal

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

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

2016 European Guidelines on cardiovascular disease prevention in clinical practice

(2016) Massimo F. Piepoli et al.   ATHEROSCLEROSIS

Natriuretic peptides and integrated risk assessment for cardiovascular disease: an individual-participant-data meta-analysis

(2016) Peter Willeit et al.   Lancet Diabetes & Endocrinology

5 year mortality predictors in 498 103 UK Biobank participants: a prospective population-based study

(2015) Andrea Ganna et al.   LANCET

Probabilistic machine learning and artificial intelligence

(2015) Zoubin Ghahramani   NATURE

Deep learning

(2015) Yann LeCun et al.   NATURE

Challenges of linking to routine healthcare records in UK Biobank

(2015) Ligia Adamska et al.   Trials

UK Biobank: An Open Access Resource for Identifying the Causes of a Wide Range of Complex Diseases of Middle and Old Age

(2015) Cathie Sudlow et al.   PLOS MEDICINE

C-Reactive Protein, Fibrinogen, and Cardiovascular Disease Prediction

(2012)   NEW ENGLAND JOURNAL OF MEDICINE

Comparisons of established risk prediction models for cardiovascular disease: systematic review

(2012) G. C. M. Siontis et al.   BMJ-British Medical Journal

MissForest--non-parametric missing value imputation for mixed-type data

(2011) D. J. Stekhoven et al.   BIOINFORMATICS

New aspects of HbA1c as a risk factor for cardiovascular diseases in type 2 diabetes: an observational study from the Swedish National Diabetes Register (NDR)

(2010) K. Eeg-Olofsson et al.   JOURNAL OF INTERNAL MEDICINE

2010 ACCF/AHA Guideline for Assessment of Cardiovascular Risk in Asymptomatic Adults

(2010) Philip Greenland et al.   JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY

High ten-year risk of cardiovascular disease in newly diagnosed rheumatoid arthritis patients: A population-based cohort study

(2008) Hilal Maradit Kremers et al.   ARTHRITIS AND RHEUMATISM

Conditional Variable Importance for Random Forests

(2008) Carolin Strobl et al.   BMC BIOINFORMATICS

General Cardiovascular Risk Profile for Use in Primary Care

(2008) Ralph B. D’Agostino et al.   CIRCULATION

A High Ankle-Brachial Index Is Associated With Increased Cardiovascular Disease Morbidity and Lower Quality of Life

(2008) Matthew A. Allison et al.   JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY

Laboratory-based versus non-laboratory-based method for assessment of cardiovascular disease risk: the NHANES I Follow-up Study cohort

(2008) Thomas A Gaziano et al.   LANCET

Rosuvastatin to Prevent Vascular Events in Men and Women with Elevated C-Reactive Protein

(2008) Paul M Ridker et al.   NEW ENGLAND JOURNAL OF MEDICINE