Cardiac ScoreCard: A diagnostic multivariate index assay system for predicting a spectrum of cardiovascular disease

作者：

Highlights：

• We developed a Cardiac ScoreCard based on a multivariate index assay.

• Using a single chip for multiple cardiac applications reduces cost and time.

• Lasso logistic regression performs shrinkage and selection in multimarker models.

• Biomarkers and traditional risk factors predict cardiac wellness and heart failure.

摘要

•We developed a Cardiac ScoreCard based on a multivariate index assay.•Using a single chip for multiple cardiac applications reduces cost and time.•Lasso logistic regression performs shrinkage and selection in multimarker models.•Biomarkers and traditional risk factors predict cardiac wellness and heart failure.

论文关键词：Cardiovascular disease (CVD),Lasso logistic regression,Biomarkers,Cardiac wellness,Heart failure (HF),Programmable bio-nano-chip (p-BNC)

论文评审过程：Received 20 October 2014, Revised 13 January 2016, Accepted 14 January 2016, Available online 25 January 2016, Version of Record 17 February 2016.

论文官网地址：https://doi.org/10.1016/j.eswa.2016.01.029