Blood Biomarkers Predict Cardiac Workload Using Machine Learning.

Journal: BioMed research international
Published Date: Jan 1, 2021

Abstract

INTRODUCTION: Rate pressure product (the product of heart rate and systolic blood pressure) is a measure of cardiac workload. Resting rate pressure product (rRPP) varies from one individual to the next, but its biochemical/cellular phenotype remains unknown. This study determined the degree to which an individual's biochemical/cellular profile as characterized by a standard blood panel is predictive of rRPP, as well the importance of each blood biomarker in this prediction.

Authors

  • Lan Shou
    The Affiliated Hospital of Hangzhou Normal University, Hangzhou Normal University, 58 Haishu Rd., Hangzhou, Zhejiang, China 311121.
  • Wendy Wenyu Huang
    Applied Psychology and Human Development, University of Toronto, 252 Bloor St. West, Toronto, Ontario, Canada M5S 1V6.
  • Andrew Barszczyk
    Department of Physiology, University of Toronto, Toronto, ON, Canada.
  • Si Jia Wu
    Dr. Eric Jackman Institute of Child Study, University of Toronto, Toronto, M5R 2X2, Canada.
  • Helen Han
    Applied Psychology and Human Development, University of Toronto, 252 Bloor St. West, Toronto, Ontario, Canada M5S 1V6.
  • Alex Waese-Perlman
    Applied Psychology and Human Development, University of Toronto, 252 Bloor St. West, Toronto, Ontario, Canada M5S 1V6.
  • Lulu Chen
  • Jing Wei
    School of Biomedical Engineering, Shenzhen University Medical School, Shenzhen University, Shenzhen, Guangdong, China.
  • Hong Luo
    SAMR Key Laboratory of Human Factors and Ergonomics, China National Institute of Standardization, Beijing, 100191, China.
  • Kang Lee
    Dr. Eric Jackman Institute of Child Study, University of Toronto, Toronto, M5R 2X2, Canada. kang.lee@utoronto.ca.

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