Machine Learning Prediction Model for Dyslipidemia and Its Association With Atherothrombotic Events in 3 Independent Cohorts From South Korea, Japan, and the United Kingdom: Algorithm Development and Validation Study - Top-Institutions - MDSpire

Machine Learning Prediction Model for Dyslipidemia and Its Association With Atherothrombotic Events in 3 Independent Cohorts From South Korea, Japan, and the United Kingdom: Algorithm Development and Validation Study

  • By

  • Tae Hyeon Kim

  • Soeun Kim

  • Yerim Kim

  • Hayeon Lee

  • Seung Ha Hwang

  • So Young Yang

  • Lee Smith

  • André Hajek

  • Selin Woo

  • Dong Keon Yon

  • May 19, 2026

  • 0 min

Share

Top Institutions in Cardiology

Brief introduction explaining scope and methodology.

  • #1

    UK Biobank
    UK Biobank

    London, England

    Key Differentiators

    • Cardiology
    • Epidemiology

  • #2

    Korean National Health Insurance Service–National Sample Cohort
    Korean National Health Insurance Service–National Sample Cohort

    Seoul, South Korea

    Key Differentiators

    • Cardiology
    • Public Health

  • #3

    Japan Medical Data Center
    Japan Medical Data Center

    Tokyo, Japan

    Key Differentiators

    • Cardiology
    • Epidemiology

Original Source(s)

Machine Learning Prediction Model for Dyslipidemia and Its Association With Atherothrombotic Events in 3 Independent Cohorts From South Korea, Japan, and the United Kingdom: Algorithm Development and Validation Study

  • by Tae Hyeon Kim, Soeun Kim, Yerim Kim, Hayeon Lee, Seung Ha Hwang, So Young Yang, Lee Smith, André Hajek, Selin Woo, Dong Keon Yon

  • May 19, 2026

Related Content

Top 10 States With Rising Demand for Physicians

These 10 states report physician shortages, projected physician supply gaps, or physician-to-population ratios below national benchmarks.

Vitamin D: The Answer May Be Genetic

A post hoc D2d analysis found vitamin D3 supplementation was linked to lower diabetes risk only among patients with ApaI AC or CC genotypes.

Theoretical Cost-Effectiveness of PCSK9 Inhibitors in Stroke Due to Intracranial Atherosclerosis