Cardiovascular Risk Prediction Using Machine Learning in a Large Japanese Cohort
Matthew B. Matheson, Yoko Kato, Shinichi Baba, Christopher Cox, João A.C. Lima, Bharath Ambale‐Venkatesh
Abstract
We present a machine learning technique for accurate assessment of cardiovascular risk using employer-mandated annual health checkup information. The algorithm produces individual-level risk curves over time, empowering clinicians to efficiently implement prevention strategies in a low-risk population.
Topics & Concepts
MedicineInterquartile rangeCoronary artery diseaseFramingham Risk ScoreInternal medicineCohortRisk assessmentBlood pressurePopulationDiseaseAtherosclerotic cardiovascular diseaseReceiver operating characteristicEnvironmental healthComputer scienceComputer securityCardiovascular Health and Risk FactorsLipoproteins and Cardiovascular HealthDiabetes, Cardiovascular Risks, and Lipoproteins