Abstract
Binary partitioning can assist physicians in diagnosing patients potentially suffering heart attacks and other clinical conditions. Traditionally, the physicians made decisions based on their clinical experience. Classifications based on representative historical data has the advantage of added empirical information from large numbers of patients.
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© 2013 Springer Science+Business Media Dordrecht
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Cleophas, T.J., Zwinderman, A.H. (2013). Binary Partitioning. In: Machine Learning in Medicine. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-5824-7_7
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DOI: https://doi.org/10.1007/978-94-007-5824-7_7
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