Establishment of a Combined Diagnostic Model of Abdominal Aortic Aneurysm with Random Forest and Artificial Neural Network.

Journal: BioMed research international
PMID: 35299890

Abstract

OBJECTIVES: Abdominal aortic aneurysm (AAA), a disease with high mortality, is limited by the current diagnostic methods in the early screening. This study aimed to screen novel and significant biomarkers and construct a diagnostic model for AAA by using a novel machine learning method, i.e., an ensemble of the random forest (RF) algorithm and artificial neural network (ANN).

Authors

  • Yixuan Duan
    Department of Cardiology, Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
  • Enrui Xie
    Department of Cardiology, Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
  • Chang Liu
    Key Lab of Cell Differentiation and Apoptosis of Ministry of Education, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Jingjing Sun
    School of Public Administration, Guangzhou University, Guangzhou, China.
  • Jie Deng
    Department of Diagnostic Radiology and Nuclear Medicine, Rush University Medical Center, 1653 W. Congress Pkwy, Chicago, IL 60612, USA. Electronic address: Jie_deng@rush.edu.

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