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An Efficient Approach for Detecting Dengue Using the Processing Power of Mobile Phones and Social Networks
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Dengue is an ailment transmitted essentially through mosquito chomps. Inventive arrangements have been produced to battle episodes. Be that as it may, in creating nations these dengue discovery arrangements are regularly not reasonable and effortlessly open. Moreover, these conventional methodologies are ease back to analyze and treat dengue. This paper show a dengue location arrangement that utilizations vision sensors in mobile phones, a lightweight question recognizable proof calculation, and a web server that gives spatial data to social insurance suppliers. Our frameworks use a novel paper based innovation created by analysts at the Harvard University Department of Chemistry. Our dengue discovery calculation quickly analyze dengue, transmits the outcomes to the Center for Disease Control (CDC) for further investigation, and presents medicinal services suppliers with spatial data on flare-ups. This novel approach can enhance the personal satisfaction in creating nations by precisely and financially identifying dengue and giving information to the CDC to checking of dengue pandemics.
Keywords
Dengue Detection, Light-Weight Image Processing, Mobile Systems, Social Networking, Medical Informatics, Translational Medicine, Sensor Enabled Embedded Systems.
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