猪流感疫区热点检测新技术

P. Nagaraj, A. K. Prasad
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引用次数: 2

摘要

如今,医疗保健在人类生活中是非常重要的。流行性感冒往往传播得很快。流感是一种由流感病毒引起的传染病。这是一种世界性的传染病,可引起局部或广泛的流行病和流行病。最全球性的病毒在世界各地传播,被称为猪流感。甲型H1N1流感是由几种猪流感病毒中的任何一种引发的。因此,首先,我们计划确定哪些人容易受到病毒的影响,以及有多少病人死于猪流感。由于迫切需要找到猪流感疫区的热点地区,我被激励去做研究,以确定受猪流感影响更大的热点地区。我们的探索围绕着这一医学结论展开,通过对猪流感积累的记录进行研究设计。机器学习在识别流感疫区、检测热点和确定热点优先级方面发挥了关键作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Novel Technique to Detect the Hotspots in Swine Flu Effected Regions
In present days, healthcare is very essential in human life. The flu (Influenza) tends to spread very rapidly. Influenza is an infectious disease caused by an influenza virus. This is a worldwide infection and causes local or widespread epidemics and pandemics. The most global all over the world spreading virus, known as Swine flu. The Influenza A (H1N1) flu is triggered by means if anyone of several types of swine influenza viruses. So, firstly we have planned to identify who are vulnerable to be effected by the virus and how many patients have died due to swine flu. Since there is a great need to find the hotspots in swine flu affected regions, I was motivated to do research for the identification of hotspots effected more by swine flu. Our exploration centers around this apart of Medical conclusion through studying design through the accumulated records for Swine Flu. Machine learning place key role to identify influenza effected zones, detecting Hotspots and Prioritization Hotspots.
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