基于机器学习的多准则决策医疗保健系统研究

Sk Anamul Hoda, A. Mondal
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引用次数: 1

摘要

医疗保健和医疗记录中有很多信息。然而,在当今以数字为基础的文化中,将数据转化为信息并发现隐藏的模式对人类来说是一项挑战。有效的决策支持技术可以帮助医疗专业人员发现隐藏在海量数据中的关键信息,并支持他们的临床判断以及不同的医疗管理活动。研究论文使用基于多准则决策(MCDM)的机器学习对医疗保健系统进行了广泛的文献调查。考虑对各种现有研究进行审查,并通过审查研究进行批判性分析,这有助于研究人员探索进一步的研究领域,以满足该领域的需求
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Studies on Multi-Criteria Decision-Making Based Healthcare Systems Using The Machine Learning
There is a lot of information in healthcare and medical records. However, it is challenging for humans to turn data into information and spot hidden patterns in today's digitally-based culture. Effective decision-support technologies can help medical professionals find critical information concealed in voluminous data and support their clinical judgments as well as in different healthcare management activities. Research paper presented an extensive literature survey for Healthcare systems using the machine learning that is based on Multiple criteria decision making (MCDM). Various existing studies are considered for review and a critical analysis is being done through the reviews study which can help to the researchers to explore further research area to cater the need of the field
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