Article

Machine learning identifies SNPs predictive of advanced coronary artery calcium in ClinSeq® and Framingham Heart Study cohorts

2017-01-24

Abstract excerpt

<h4>ABSTRACT</h4> One goal of personalized medicine is leveraging the emerging tools of data science to guide medical decision-making. Achieving this using disparate data sources is most daunting for polygenic traits and requires systems level approaches. To this end, we employed random forests (RF) and neural networks (NN) for predictive modeling of coronary artery calcification (CAC), which is an intermediate e...

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Literature Corpus work: bef30681-afef-573d-9642-01461718254d
DOI: 10.1101/102350

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