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Author Credentials

Zeid Khitan MD Alexis D. Jacob MD Courtney Balentine MD Adam N. Jacob BS Juan R. Sanabria MD Joseph I. Shapiro MD

DOI

http://dx.doi.org/10.18590/mjm.2018.vol4.iss4.8

Abstract

We examined machine learning methods to predict death within six months using data derived from the United States Renal Data System (USRDS). We specifically evaluated a generalized linear model, a support vector machine, a decision tree and a random forest evaluated within the context of K-10 fold validation using the CARET package available within the open source architecture R program. We compared these models with the feed forward neural network strategy that we previously reported on with this data set.

Conflict(s) of Interest

N/A

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