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A text mining approach to identify the relationship between gait-Parkinson's disease (PD) from PD based research articles

机译:一种文本挖掘方法,可从基于PD的研究文章中识别步态-帕金森氏病(PD)之间的关系

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摘要

Recently the Parkinson's disease (PD) is getting a lot of attention because the economic impact of this disease to the society and to the country is huge. As the population of the old age people is increasing at a higher rate and will also increase at a higher rate in the future the early prediction as well as early diagnosis of the Parkinson's disease become a do or die situation for many developed countries. With the advent of the wearable device and some intelligent data mining approach the research related to Parkinson's disease has increasing at a higher rate throughout the world. As these disease affect most of the human body parts it is difficult for so many clinicians which part of the body should analyzed to get early detection of the disease. Lot of research has been done in different context related to Parkinson's disease a summarization of this topic using manual approach text long time. So to get the important information with the short time, in this paper a text mining based approach has been implemented to a group of texts related to PD that includes only abstracts of papers published in the last three years (2014-2017). We have used some visualization approach to highlight the relationship between gait-Parkinson's disease from the PD based research articles. This analysis will help the clinicians to judge the bonding between them and put focus on them based on the bonding.
机译:最近,帕金森氏病(PD)引起了人们的广泛关注,因为这种疾病对社会和对国家的经济影响巨大。随着高龄人口的增长,并且将来还将以更高的速度增长,帕金森氏病的早期预测和早期诊断在许多发达国家已成定局。随着可穿戴设备的出现和一些智能数据挖掘方法的出现,与帕金森氏病有关的研究在全世界范围内以更快的速度增长。由于这些疾病会影响人体的大部分部位,因此许多临床医生很难对人体的哪一部分进行分析以尽早发现该疾病。在与帕金森氏病有关的不同背景下,已经进行了大量研究,长期以来使用人工方法对这一主题进行了总结。因此,为了在短时间内获得重要信息,本文针对与PD相关的一组文本实施了一种基于文本挖掘的方法,该方法仅包含最近三年(2014-2017年)发表的论文摘要。我们从基于PD的研究文章中使用了一些可视化方法来突出步态-帕金森氏病之间的关系。这种分析将有助于临床医生判断它们之间的结合,并基于结合来关注它们。

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