Proceedings of the First International Conference on Computing, Communication and Control System, I3CAC 2021, 7-8 June 2021, Bharath University, Chennai, India

Research Article

Early Strokes Detection of Patient and Health Monitoring System Based On Data Analytics Using K-Means Algorithm

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  • @INPROCEEDINGS{10.4108/eai.7-6-2021.2308790,
        author={Menaka.  S and Bharathiraja.  N and Badi  Alekhya and Sasikumar  R},
        title={Early Strokes Detection of Patient and Health Monitoring System Based On Data Analytics Using K-Means Algorithm},
        proceedings={Proceedings of the First International Conference on Computing, Communication and Control System, I3CAC 2021, 7-8 June 2021, Bharath University, Chennai, India},
        publisher={EAI},
        proceedings_a={I3CAC},
        year={2021},
        month={6},
        keywords={heart-beat sensors attribute-based encryption k-means support vector machine},
        doi={10.4108/eai.7-6-2021.2308790}
    }
    
  • Menaka. S
    Bharathiraja. N
    Badi Alekhya
    Sasikumar R
    Year: 2021
    Early Strokes Detection of Patient and Health Monitoring System Based On Data Analytics Using K-Means Algorithm
    I3CAC
    EAI
    DOI: 10.4108/eai.7-6-2021.2308790
Menaka. S1,*, Bharathiraja. N2, Badi Alekhya3, Sasikumar R4
  • 1: Assistant Professor, Department of Computer Science and Engineering, SRM Institute of Science and Technology, Ramapuram Campus, Chennai, India.
  • 2: Assistant Professor, Department of Computer Science and Engineering, SRM Institute of Science and Technology, Ramapuram Campus, Chennai, India
  • 3: Research Scholar, Department of ICE, R.M.D Engineering College, Kavaraipettai, Chennai, India
  • 4: Professor, Department of Computer Science and Engineering, R.M.D Engineering College, Kavaraipettai, Chennai, India.
*Contact email: menakas311@gmail.com

Abstract

The processing chain of scientific information in particular consists of information series, information storage, data sharing, and records evaluation. In the prevailing device, there is lots of improvisation wished for our health care device. The existing technique our affected person monitoring is a guide and time-consuming process. To conquer the task the proposed work proposed actual data series from sensors, IoT-primarily based totally sharing, and information analytics. This proposed device gives the gain for the respective medical doctor to display the affected person's health 24*7 regardless of geographical location. Example: The medical doctor can display the affected person's health even after the affected person receives discharged. This proposed work implies a health sensor named heartbeat sensor to display affected person fitness. The affected person information is monitoring through the sensorsand transmitted to the Arduino. The actual-time statistics from the COM port have acquired the usage of Net beans and stored in an SQL database. The actual-time information may be monitored with the aid of using each affected person and medical doctor. The real-time statistics are processed from Net beans as datasheet to R programming for statistical evaluation. For Clustering, we use the K-Means algorithm and for Classification, we use the Support Vector Machine. Also relying on the counseled routinely with