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Subhasini SV

Department of Computer Science and Engineering, KIT-KalaignarKarunanidhi Institute of Technology, Tamil Nadu, India


  • Research Article   
    Machine Learning based Cardiovascular Disease Pattern Prediction Technique for Remote Healthcare Monitoring Systems
    Author(s): Subhasini SV* and S Raja Mohamed

    Wearable devices and the various applications of wearable devices are increasing greatly which encourages researchers to focus much on Internet of Medical Things (IoMT). The IoMT is playing a major and considerable role for reducing mortality rates as IoMT is helping diseases pattern well in advance. As we know, the cardiovascular disease threatens us as mortality is relatively high which is observed from the available literature survey. It was noticed from the statistical report that there were relatively high rate of heart diseases registered. The healthcare system is needed for the better cardiovascular diseases prediction techniques, which will help medical practitioners to predict this disease well in advance that will facilitate early prevention, detection, and fruitful treatment to patients. This will save human life and can reduce mortality rate. As we know, machine learning m.. Read More»

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Annals of Medical and Health Sciences Research The Annals of Medical and Health Sciences Research is a bi-monthly multidisciplinary medical journal.
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