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DOI: 10.1016/j.jclinepi.2012.11.008
¤ OpenAccess: Green
This work has “Green” OA status. This means it may cost money to access on the publisher landing page, but there is a free copy in an OA repository.
Using methods from the data-mining and machine-learning literature for disease classification and prediction: a case study examining classification of heart failure subtypes
Peter C. Austin,Jack V. Tu,Jennifer E. Ho,Daniel Levy,Douglas S. Lee
Logistic regression
Random forest
Support vector machine
2013
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“Using methods from the data-mining and machine-learning literature for disease classification and prediction: a case study examining classification of heart failure subtypes” is a paper by Peter C. Austin Jack V. Tu Jennifer E. Ho Daniel Levy Douglas S. Lee published in 2013. It has an Open Access status of “green”. You can read and download a PDF Full Text of this paper here.