The Taxonomy Statistic Uncovers Novel Clinical Patterns in a Population of Ischemic Stroke Patients

Andrzej Tukiendorf, Radosław Kaźmierski and Sławomir Michalak

PLOS ONE, 2013, vol. 8, issue 7, 1-

Abstract: In this paper, we describe a simple taxonomic approach for clinical data mining elaborated by Marczewski and Steinhaus (M-S), whose performance equals the advanced statistical methodology known as the expectation-maximization (E-M) algorithm. We tested these two methods on a cohort of ischemic stroke patients. The comparison of both methods revealed strong agreement. Direct agreement between M-S and E-M classifications reached 83%, while Cohen’s coefficient of agreement was κ = 0.766(P

Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0069816

DOI: 10.1371/journal.pone.0069816

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