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Surveillance of Type –I & II Diabetic Subjects on Physical Characteristics: IoT and Big Data Perspective in Healthcare @NCR, India

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Internet of Things (IoT)

Abstract

The Delhi and NCR healthcare systems are rapidly registering electronic health records, diagnostic information available electronically. Furthermore, clinical analysis is rapidly advancing-large quantities of information are examined and new insights are part of the analysis of this technology-experienced as Big Data. It provides tools for storing, managing, studying, and assimilating large amounts of robust, structured and unstructured data generated by existing medical organizations. Recently, data analysis data have been used to help provide care and diagnose disease. In the current era, systems need connected devices, people, time, places and networks that are fully integrated on the Internet (IoT). The Internet has become new in developing health monitoring systems. Diabetes is defined as a group of metabolic disorders affecting human health worldwide. Extensive research (diagnosis, path physiology, treatment, etc.) produces a great deal of data on all aspects of diabetes. The main purpose of this chapter is to provide a detailed analysis of healthcare using large amounts of data and analysis. From the Hospitals of Delhi and NCR, sample of 30 subjects has been collected in random fashion who has been suffering from Diabetes from their Health Insurance Providers without disclosing any Personal Information (PI) or Sensitive Personal Information (SPI) by Law. The present study aimed to analyze diabetes with the latest IoT and Big Data analysis techniques and it’s correlation with stress (TTH) on human health. Authors have tried to include age, gender & insulin factor and its correlation with diabetes. Overall, In conclusion, TTH cases increasing with age in case of males and not following the pattern of diabetes variation with age while in case of female TTH pattern variation is same as diabetes i.e. increasing trend up to age of 60 then decreasing.

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Acknowledgments

We would like to thanks seniors of ABES Engineering College, Ghaziabad, Dayalbagh Educational Institute, Agra and experts from Tata Consultancy Services for their extraordinary support in this research process. The Infrastructure and research samples by different labs have been collected. We pay our sincere thanks to all direct and indirect supporters.

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Authors and Affiliations

  1. DEI Agra, Agra, India

    Rohit Rastogi & Parul Singhal

  2. ABESEC, Ghaziabad, Uttar Pradesh, India

    Rohit Rastogi & Parul Singhal

  3. Department of Electrical Engineering, DEI-Agra, Agra, Uttar Pradesh, India

    D. K. Chaturvedi

  4. Department of Rural Development, IIT-Delhi, New Delhi, India

    Santosh Satya

  5. Department of ME, IIT- Roorkee, Roorkee, Uttarakhand, India

    Navneet Arora

  6. IT Consultant, TCS, Noida, Uttar Pradesh, India

    Mayank Gupta

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Correspondence to Rohit Rastogi .

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  1. Department of Computer Science, Jamia Millia Islamia, New Delhi, India

    Mansaf Alam

  2. College of Computer & Information Science, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia

    Kashish Ara Shakil

  3. Department of Computer Science, Jamia Millia Islamia, New Delhi, India

    Samiya Khan

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Rastogi, R., Chaturvedi, D.K., Satya, S., Arora, N., Singhal, P., Gupta, M. (2020). Surveillance of Type –I & II Diabetic Subjects on Physical Characteristics: IoT and Big Data Perspective in Healthcare @NCR, India. In: Alam, M., Shakil, K., Khan, S. (eds) Internet of Things (IoT). Springer, Cham. https://doi.org/10.1007/978-3-030-37468-6_23

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