Random Survival Forest Machine Learning for the Prediction of Cardiovascular Events Among Patients With a Measured Lipoprotein(a) Level: A Model Development Study.

Journal: Circulation. Genomic and precision medicine
PMID: 39846157

Abstract

BACKGROUND: Established risk models may not be applicable to patients at higher cardiovascular risk with a measured Lp(a) (lipoprotein[a]) level, a causal risk factor for atherosclerotic cardiovascular disease.

Authors

  • Jay B Lusk
    Duke University School of Medicine, Durham, NC, USA.
  • Emily C O'Brien
    Department of Population Health Sciences (J.B.L., E.C.O., B.G.H.), Duke University, Durham, NC.
  • Bradley G Hammill
    Department of Population Health Sciences (J.B.L., E.C.O., B.G.H.), Duke University, Durham, NC.
  • Fan Li
    Department of Instrument Science and Engineering, School of SEIEE, Shanghai Jiao Tong University, Shanghai 200240, China.
  • Brian Mac Grory
    Department of Neurology (J.B.L., E.C.O., B.M.G.), Duke University, Durham, NC.
  • Manesh R Patel
    Department of Medicine, Division of Cardiology (M.R.P., N.J.P., N.P.S.), Duke University, Durham, NC.
  • Neha J Pagidipati
    Center for Predictive Medicine, Duke Clinical Research Institute, Durham, North Carolina.
  • Nishant P Shah
    Department of Medicine, Division of Cardiology (M.R.P., N.J.P., N.P.S.), Duke University, Durham, NC.

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