The classification of sets of medical procedures used in the treatment of Diabetes and/or Hypertension

2017 14th International Joint Conference on Computer Science and Software Engineering (JCSSE) Pub Date : 2017-07-01 DOI:10.1109/JCSSE.2017.8025939

Kanokwan Rungreangsuparat, S. Kitisin, K. Sripanidkulchai

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Abstract

The advancement of technology to support data storage is easy to store with large volumes of data. In order to make data storage to be used extensively, the standard of data storage is formed. The World Health Organization defines numbers of the standard medical procedures to cover the all treatments without classifying any medical procedures by diseases. The selection of medical procedures is based on a patient's symptoms. Therefore, if the sets of medical procedures can identified, we may know the diseases of the patient or it can be used in disease surveillance. In addition, diabetes and hypertension are silent killers that have been threatening numbers of Thai people and also lead to many serious diseases. This research identified sets of medical procedures related to diabetes and/or hypertension using C4.5 and Naive Bayes algorithms. The results showed that C4.5 could identify sets of medical procedures related to Diabetes and/or Hypertension more effectively than the Naive Bayes algorithm.

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用于治疗糖尿病和/或高血压的医疗程序的分类

支持数据存储的技术的进步使得存储大量数据变得容易。为了使数据存储得到广泛应用，形成了数据存储标准。世界卫生组织定义了标准医疗程序的数量，以涵盖所有治疗，而不按疾病分类任何医疗程序。医疗程序的选择是基于病人的症状。因此，如果这套医疗程序可以识别，我们就可以知道患者的疾病情况，或者可以用于疾病监测。此外，糖尿病和高血压是无声的杀手，一直威胁着许多泰国人，也导致许多严重的疾病。本研究使用C4.5和朴素贝叶斯算法确定了与糖尿病和/或高血压相关的医疗程序集。结果表明，C4.5可以比朴素贝叶斯算法更有效地识别与糖尿病和/或高血压相关的医疗程序集。

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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来源期刊

2017 14th International Joint Conference on Computer Science and Software Engineering (JCSSE)

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