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A text mining approach to automated healthcare for the masses

机译:面向大众的自动医疗保健的文本挖掘方法

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There is a tremendous amount of attention being focused on improving human health these days. The World Health Organization (WHO) statistics show that disease and mortality rate greatly depend on access to proper healthcare, which is not available to a vast majority of the global population. This technical paper presents our vision of automating some of the healthcare functions such as monitoring and diagnosis for mass deployment. We explain our ideas on how machines can help in this essential life supporting activity. Diagnosis part of the problem has been researched for long, so we set out working on this first, while the remaining is still in idea stage. We give insights into our work on automating medical diagnosis using text mining techniques and include some initial results.
机译:如今,人们将大量注意力集中在改善人类健康上。世界卫生组织(WHO)的统计数据表明,疾病和死亡率在很大程度上取决于能否获得适当的医疗保健,而全球绝大多数人口都无法获得这种医疗服务。本技术文件介绍了我们实现某些医疗保健功能(例如监视和诊断大规模部署)的自动化的愿景。我们解释了有关机器如何在这项至关重要的生命支持活动中提供帮助的想法。问题的诊断部分已经进行了很长时间的研究,因此我们首先着手进行此工作,而其余的仍处于构思阶段。我们对使用文本挖掘技术进行医学诊断自动化的工作提供了见解,并提供了一些初步结果。

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