APPLICATION OF DATA MINING IN HEALTHCARE OF BANGLADESH

Nafis Md Zawad
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Abstract

The paper intends to discuss the status of data mining applications in the normal and critical healthcare system of Bangladesh. The paper also focuses on the data mining strategies and processes in the current healthcare system in Bangladesh. This is a secondary source-based review paper. The methodology chosen for the study is a literature review and document analysis. The literature review was done through the analysis of book chapters, research-based articles, review-based journal articles, organizational reports, and conference papers. The key findings of the study indicate that as Bangladesh is not a developed country and is a developing one, the country’s healthcare system is not up to the required standard, and the application of data mining techniques is very limited and in most cases, it is at the policy level. The implementation and practice of data-mining techniques is available in internationally recognized organizations and institutions. In these circumstances, the country’s healthcare policymakers and administrators should employ experts in data mining in healthcare services and facilities and standard technologies should be included in their administering the data mining in healthcare facilities. Besides, data mining should be incorporated with other related concepts and strategies to make the highest outcomes in health care systems.
数据挖掘在孟加拉国医疗保健中的应用
本文旨在讨论数据挖掘在孟加拉国正常和关键医疗保健系统中的应用状况。本文还侧重于孟加拉国当前医疗保健系统中的数据挖掘策略和流程。这是一篇基于二手资料的综述论文。本研究选择的方法是文献回顾和文献分析。文献综述是通过分析书籍章节、研究文章、基于评论的期刊文章、组织报告和会议论文来完成的。该研究的主要发现表明,由于孟加拉国不是一个发达国家,而是一个发展中国家,该国的医疗保健系统没有达到要求的标准,数据挖掘技术的应用非常有限,在大多数情况下,它是在政策层面。数据挖掘技术的实施和实践在国际公认的组织和机构中都有。在这种情况下,国家的医疗保健政策制定者和管理人员应聘请医疗保健服务和设施数据挖掘方面的专家,并将标准技术纳入其对医疗保健设施数据挖掘的管理。此外,数据挖掘应与其他相关概念和策略相结合,以使卫生保健系统取得最高的成果。
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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