A machine learning algorithm for the identification elevated Lp(a) in patients with, or high-risk of having, coronary heart disease.

Journal: International journal of cardiology
PMID: 39366561

Abstract

BACKGROUND: Decision tree algorithms, obtained by machine learning, provide clusters of patients with similar clinical patterns by the identification of variables that best merge with a given dependent variable.

Authors

  • Rosa Fernández Olmo
    Cardiology Department, Hospital de Jaén, Jaén, Spain.
  • Gustavo Cortez
    Cardiology Department, Hospital Alto Guadalquivir, Andujar, Spain.
  • Miriam Martin Toro
    Cardiology Department, Hospital Puerto Real, Cádiz, Spain.
  • Miriam Sandín
    Cardiology Department, Hospital General Dr. Balmís, Alicante, Spain.
  • Javier Mora
    Lab of Tumor Chemosensitivity, CIET/DC Lab, Faculty of Microbiology, Universidad de Costa Rica, San Jose, Costa Rica.
  • Armando Oterino
    Cardiology Department, Complejo Asistencial Universitario de Salamanca, Salamanca, Spain.
  • Magdalena Carrillo Bailen
    Cardiology Department, Hospital de Jaén, Jaén, Spain.
  • Juan Quiles-Granado
    Cardiology Department, Hospital Puerto Real, Cádiz, Spain.
  • Pedro Urbiola
    Cardiology Department, Complejo Asistencial Universitario de Salamanca, Salamanca, Spain.
  • Leopoldo Fernández Ruz
    Cardiology Department, Hospital Regional Universitario de Málaga, Málaga, Spain.
  • Alberto Cordero
    Departamento de Cardiología, Hospital IMED Elche, Elche, Alicante, España; Grupo de Investigación Cardiovascular, Universidad Miguel Hernández, Elche, Alicante, España; Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares (CIBERCV), Madrid, España. Electronic address: acorderofort@gmail.com.

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