WIT120 data mining technology based on internet of things
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WIT120 data mining technology based on internet of things Qingyuan Zhou 1,2,3 & Zongming Zhang 4,5 & Yuancong Wang 6 Received: 20 May 2019 / Accepted: 11 August 2019 # Springer Science+Business Media, LLC, part of Springer Nature 2019
Abstract In recent years, with the increasing aging of society, the number of patients with chronic heart disease, hypertension and diabetes has increased dramatically. It has guiding significance for the prevention and treatment by long-term monitoring of the physiological signs of patients with chronic diseases, scoring statistical data, and predicting the development trend of users’ health. The work used the data collected by WIT120 system to analyze the pre-processed thick data based on adaptive k-means clustering method under the MapReduce framework, and the GM (1,1) grey model was used to predict the future health status of users. The simulation results have verified the effectiveness of the proposed algorithm. Keywords Data mining . MapReduce . Solf-evolving . K-means
1 Introduction With the marked decline in fertility, the increase in life expectancy per capita is leading to a rapid ageing of the global population. The World Health Organization’s Global Report on Ageing and Health in 2015 pointed out that the problem of global population ageing is becoming more and more serious. From 2015 to 2050, the proportion of the world’s population over the age of 60 will rise from the current 12 to 22%, and the total will increase from 605 million to 2 billion, nearly double the increase [1]. Life extension gives opportunities for the elderly, their families and the society, but these opportunities and contributions depend largely on health. All countries in the world will face a series of problems brought about by the aging of the population. The medical health of the elderly (including the mental health of the elderly) is particularly acute. The number of
* Yuancong Wang [email protected] Qingyuan Zhou [email protected]
medical facilities and medical personnel is seriously insufficient, and the medical systems of countries are suffering heavy burden. Among many elderly patients, chronic diseases (for example, chronic heart disease, high blood pressure and diabetes) account for a large proportion. Long-term monitoring of the physiological signs of patients with chronic diseases as well as the statistics of the patient’s physical condition and treatment effects has a guiding significance for the treatment of diseases. At the same time, when there is a sudden health condition, it must timely alarm and implement rescue. Therefore, it is particularly important to promote the integration of health care with mobile Internet, IoT (Internet of Things) [2], cloud computing, big data and other technologies, increase attention and investment in medical health information and intelligence, and promote the technological transformation of the traditional industry with new information technology as well as the deep integration of industrialization and
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Changzhou Electronic Commerce Research Inst
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