Information technology for patient’s grade of severity estimation

Authors

  • Марина Николаевна Нессонова National University of Pharmacy A. Newsky st., 18, Kharkiv, Ukrain, Ukraine

DOI:

https://doi.org/10.15587/2313-8416.2014.27256

Keywords:

information technology, patient’s grade of severity estimation, supervised classification, compositions of classifiers (classifiers ensembles)

Abstract

The information technology for patient’s grade of severity estimation is suggested in the paper. The information technology is based on the methods of supervised classification and algorithms compositions constructing, which were developed by the author. The results of information technology applying  for real data to estimate grade of severity for 232 patients with pancreas traumas, are reported.

Author Biography

Марина Николаевна Нессонова, National University of Pharmacy A. Newsky st., 18, Kharkiv, Ukrain

Junior member of teachers and research stuff,

Pharmacoinformatics Department

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Published

2014-09-16

Issue

Section

Technical Sciences