Tuesday, November 12, 2019

IoT


Studying Medical Data and analyzing them is Healthcare analytics which is improving human life span potentially by predicting various sign of diseases in advance. To protect our life, we do maintain quality of every intake. At the same time, we gone through different medical test periodically to check performance of inner system. Analysis excretion is among one of them. Excretion is the process that removes the waste products of digestion and metabolism from the body. It gets rid of by-products that the body is unable to use, many of which are toxic and incompatible with life. Data analysis of human body excretion gives various preventive medical information of an individual. A simple urinalysis is one way to find certain illnesses like Kidney diseases, Liver problem, Diabetes etc. in their earlier stages.

This article is not about the possibilities of capturing metrics by testing samples, rather than how we can make this test done automatically and alert individuals. Smart Sanitary System (sCube) is one way to accomplish that. Leave or release your body excretion publicly or privately, smart device will analysis that and report you.

Healthcare is one of the most important criteria for Smart City. Without proper health treatment and medication, a city will never be able to survive as a smart city. with the help of IoT it is possible to help people live smartly. Energy release by human body, weight gain or loss periodically, walking step analysis etc. can be done with the help of AI and IoT. There are potential opportunities for Health & Life insurance companies to serve their customer better and run the business more accurately.

For example, analysis done by the Iris iQ200 ELITE (İris Diagnostics, USA), Dirui FUS-200 (DIRUI Industrial Co., China) says that the degree of concordance between the two instruments was better than the degree of concordance between the manual microscopic method and the individual devices. Therefore, if sample can be analyzed automatically by instrument, collecting data and monitoring them would not be a challenge.

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