An application development for smart monitoring of COVID patients using six stage microbiological health systems

Author:

Prasad Padavala Sai1,Nair Prabha Shreeraj2,Patil Anagha3,Patil Nilesh Madhukar4,Chaturvedi Abhay5,Taqui Syed Noeman6,Almoallim Hesham S.7,Alharbi Sulaiman Ali8,Raghavan S.S.9

Affiliation:

1. Department of Computer Science and Engineering, ST. Martin’s Engineering College (Autonomous), Secunderabad, Telangana, India

2. Department of Information Technology, Noida Institute of Engineering and Technology (NIET), Greater Noida, Uttar Pradesh, India

3. Department of Information Technology, Vidyavardhini’s College of Engineering and Technology, Vasai, K.T. Marg, Vasai (W), Maharashtra, India

4. Department of Computer Engineering, SVKM’s D J Sanghvi College of Engineering, Vile Parle West, Maharashtra, India

5. Department of Electronics & Communication Engineering, GLA University, Mathura, Uttar Pradesh, India

6. Department of VLSI Microelectronics, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai, Tamil Nadu, India

7. Department of Oral and Maxillofacial Surgery, College of Dentistry, King Saud University, Riyadh, Saudi Arabia

8. Department of Botany and Microbiology, College of Science, King Saud University, Riyadh, Saudi Arabia

9. Department of Biology, University of Tennessee Health Science center, Memphis, USA

Abstract

For many, Covid-19 is a short-term, mildly debilitating disease. But some people are still struggling with monthly symptoms with persistent inflammation, chronic pain and shortness of breath. The situation of “long-term cowardice” has become so debilitating that it is now common for some to say that they are tired even if they walk a short distance. So far, the focus has been on saving lives from the plague. But now there are growing concerns about people facing the long-term consequences of the COVID epidemic. The fundamental question, with the uncertainty of whether those with chronic goiter, or all those affected, will fully recover is raised. In this paper a smart monitoring model was proposed to keep monitoring the COVID patient’s health conditions. The smart method keep on watching the different changes reflected in the body conditions and ensure the changes in the database. In case any emergency is raised, then these smart monitoring tools inform the information to the doctors. This can very much helpful for the patients to communicate with the doctors.

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

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