Using of a matrix method of building of nonbinary decision trees for determining of stability of fixation of a tibia fracture

M. Kupriyanov, J. Shichkina, E. Y. Shukeilo
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Abstract

Rapid development of information technologies, in particular, progress in methods of collection, storage and processing of data has allowed to collect huge data arrays with the purpose of their analysis in many organizations. Opportunities of experts are not enough because amount of these data are too much. This generates demand for methods of automatic data analysis number of which annually increase. Their application in biomechanical studies for the purpose of determining of stability of fixation of a fracture based on a physiological condition of patients is not exception. Most of algorithms for building of decision trees are time-consuming and poorly parallelized. Matrix method of building of nonbinary trees is presented in this article. Its advantages are a large reserve of an internal parallelism and lack of an inherent disadvantage of existing algorithms for building of decision trees - dependence on a choice of a variable of an initial split. Result of the method will be a complete set of rules on which can build a few trees with selection of the most significant of them in the future.
利用矩阵法构建非二值决策树确定胫骨骨折固定稳定性
信息技术的迅速发展,特别是数据的收集、储存和处理方法的进步,使许多组织能够收集大量数据阵列并进行分析。专家的机会是不够的,因为这些数据太多了。这就产生了对自动数据分析方法的需求,这种方法的数量每年都在增加。它们在生物力学研究中的应用也不例外,目的是根据患者的生理状况确定骨折固定的稳定性。大多数构建决策树的算法耗时长,并行性差。本文提出了非二叉树的矩阵构造方法。它的优点是保留了大量的内部并行性,并且缺乏现有算法在构建决策树时的固有缺点-依赖于初始分裂变量的选择。该方法的结果将是一套完整的规则集,在此规则集上可以构建一些树,并选择其中最重要的树。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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