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Strategic real time framework for healthcare using fuzzy C-means systems

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Abstract

Having enhancement of automation of sensor, huge information such as the big data are examined and has become yet another worldview for huge scope of data handling. The is a requirement of continuous investigation for getting to and handling huge information in a quick manner. High health care costs and large infected population costs alongside the expansion of Information and correspondence innovation, prompted the improvement of the frameworks of health are monitored. The research article shows in the improvement of a novel cloud-based framework of a human service where the Wireless Body Area Networks (WBAN) gives out the total the information to an individual server. This server includes Fuzzy Brain Storm Optimization (FBSO) and Fuzzy Inference System (FIS) which is a distributed real-time computation system. This is used for processing large volumes of high-velocity data. It also is constant calculation framework and the Fuzzy induction framework. The proposed framework is said to be the Improved framework using Fuzzy Brain Storm Optimization (FBSO) and Fuzzy Inference System (FIS) for healthcare (IFFFH) are facilitated on a private cloud, along these lines security and versatility are guarantee. The stream examination is performed on the physiological information, where removal of non-basic information is done and the basic information are put away and a warning is sent to a doctor or the guardians of the person who is under monitorisation. Subsequently constant investigation along with the help of the cloud to improve the adequacy of the framework of the healthcare system (HcS) and personal satisfaction through the help of medical assistance. This can be used for future reference and by expanding the qualities in the dataset, in this manner expanding the quantity of records for preparing the fuzzy framework, the precision can be expanded.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, Dr. N.G.P. Institute of Technology, Research Scholar Anna University, Coimbatore, TN, India

    N. Purandhar

  2. School of Computer Science and Engineering, REVA University, Bangalore, India

    S. Ayyasamy

  3. Department of AI & DS, M. Kumarasamy College of Engineering, Karur, India

    N. M. Saravana Kumar

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  1. N. Purandhar
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  2. S. Ayyasamy
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  3. N. M. Saravana Kumar
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Correspondence to N. Purandhar.

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Purandhar, N., Ayyasamy, S. & Saravana Kumar, N.M. Strategic real time framework for healthcare using fuzzy C-means systems. Autom Softw Eng 29, 17 (2022). https://doi.org/10.1007/s10515-021-00302-0

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