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SMART HEALTHCARE USING INTERNET OF THINGS (IoT) FOR REMOTE DIAGNOSIS OF COVID-19
PATIENTS
COVID-19 (SARS CoV-2) has already claimed more than 3.3 million lives worldwide. Many patients of COVID-19 are suffering
from Mucormycosis. The use of technology helps to improve accuracy, saves time and energy to make precise decisions
that will save lives of patients. Day by day new problems arise and IoT, Cloud Computing, Big Data, Machine Learning,
Artificial Intelligence, etc. have been helping to analyze new problems more quickly and supports better design strategies.
The sensor-based devices feeds the data to process, analyze and provide a solution. Machine Learning Algorithms are
used to make precise decisions with the help of existing data repository with similar kinds of symptoms in patients, history of
allergies, surgeries, and treatment. This proposed model will help to guide medical professionals to provide solutions to the
problems arising in the treatment of COVID-19 and post-treatment diseases like Mucormycosis (also known as
Zygomycosis).
Journal | i-manager’s Journal on Software Engineering, |
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Publisher | i-Manager Publication |
Open Access | No |