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A review of classification algorithms in machine learning for medical IOT
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| Author:
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, R. PRABHA, BALAKRISHNAN S, S. DEIVANAYAGI, V.K.G. KALAISELVI, D. PUSHGARA RANI, ASWIN G
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| Abstract:
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Most of the works developed are now related to health issues because of the increase in dangerous diseases and importance of every human life. This is also one of those models, but this time we focused on newly updated things and more over lots of new technologies which are not used in our countries still now. According to India, we are still 20 years backwards to lots of small European countries, UK and USA. Maybe the one reason is population. Here is our suggestion of how to improve and get out of this medical situation with new technologies. Here we cover machine learning algorithms, IoT and sensors and lots of more things which are related to patient’s care. The major part of the system requires a body sensor network which is a wireless technology. The proposed system presents with real time optimization for the health care issues in emergency cases. Eventually this system carries out sensors such as temperature sensors, blood pressure sensors, pulse rate sensors, electrocardiography sensors and heart rate sensors where this sensor senses the information and sends all the required data to the controller. Here the constructed system predicts the specific disease for the patients where seven types of supervised ML algorithms are used for real-time monitoring. Again we say, the greatest wealth is health.
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| Keyword:
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Medical IoT, Health care IoT, Machine learning algorithm, smart health track.
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| EOI:
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| DOI:
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https://doi.org/10.31838/ijpr/2021.13.01.448
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| Download:
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Request For Article
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