ICTACT Journal on Image and Video Processing

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An Multi Threshold Model for COVID Patients with Initial Identification of Disease


Affiliations
1 Department of Computer Science and Business Systems, Knowledge Institute of Technology, India
2 Department of Computer Science Engineering, Presidency University, India
3 Department of Computer Science and Engineering, Knowledge Institute of Technology, India
4 Department of Computer Science and Engineering, Sona College of Technology, India
     

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Many strains of corona virus such as alpha, beta, gamma, delta, and omicron are still prevalent in various parts of the world. The new type of corona virus is called a variant when it is caused by more than one genetic mutation from the previous type of corona virus. Various strains around the world have come so far. The cough may persist for more than an hour or three or four times in 24 hours and body heat is high. You may not be able to feel the smell or taste. Researchers say that some people may have symptoms similar to those of a severe cold. In this paper, a multi threshold model was proposed to find the initial infection detection of COVID disease. Based on the initial health symptoms these methods observe the inputs of the patients. Then the observed symptoms are compared with the existing database and identify the spreading of the disease. This report was directly monitored by the patient and doctor. This model was helpful to provide the periodical monitoring and perfect treatments to the infected patients.Many strains of corona virus such as alpha, beta, gamma, delta, and omicron are still prevalent in various parts of the world. The new type of corona virus is called a variant when it is caused by more than one genetic mutation from the previous type of corona virus. Various strains around the world have come so far. The cough may persist for more than an hour or three or four times in 24 hours and body heat is high. You may not be able to feel the smell or taste. Researchers say that some people may have symptoms similar to those of a severe cold. In this paper, a multi threshold model was proposed to find the initial infection detection of COVID disease. Based on the initial health symptoms these methods observe the inputs of the patients. Then the observed symptoms are compared with the existing database and identify the spreading of the disease. This report was directly monitored by the patient and doctor. This model was helpful to provide the periodical monitoring and perfect treatments to the infected patients.

Keywords

Alpha, Beta, Gamma, Delta, Omicron, COVID, Threshold Model.
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  • M. Loey and S. Mirjalili, “COVID-19 Cough Sound Symptoms Classification from Scalogram Image Representation using Deep Learning Models”, Computers in Biology and Medicine, Vol. 139, pp. 105020-105026, 2021.

  • K.L. Narayanan and V. Saravanan, “Banana Plant Disease Classification using Hybrid Convolutional Neural Network”, Computational Intelligence and Neuroscience, Vol. 2022, pp. 1-14, 2022.

  • M. Kavitha and B. Twala, “Covid-19 Disease Diagnosis using Smart Deep Learning Techniques”, Journal of Applied Science and Engineering, Vol. 24, No. 3, pp. 271-277, 2021.

  • V. Saravanan and S. Hariprasath, “Diabetic Retinopathy Feature Extraction and Classification using Adaptive Super Pixel Algorithm”, International Journal on Engineering Advance Technology, Vol. 9, pp. 618-627, 2019.

  • V. Madaan, A. Roy and R. Prodan, “XCOVNet: Chest X-Ray Image Classification for COVID-19 Early Detection using Convolutional Neural Networks”, New Generation Computing, Vol. 39, No. 3, pp. 583-597, 2021.

  • T. Alafif and S. Zia, “Machine and Deep Learning towards COVID-19 Diagnosis and Treatment: Survey, Challenges, and Future Directions”, International Journal of Environmental Research and Public Health, Vol. 18, No. 3, pp. 1117-1123, 2021.

  • J. Logeshwaran, M. Ramkumar, T. Kiruthiga and Sharan Pravin Ravi, “SVPA - The Segmentation based Visual Processing Algorithm (SVPA) for Illustration Enhancements in Digital Video Processing (DVP)” ICTACT Journal on Image and Video Processing, Vol. 12, No. 3, pp. 2669-2673, 2022.

  • A. Khadidos and G. Tsaramirsis, “Analysis of Covid-19 Infections on a CT Image using Deepsense Model”, Frontiers in Public Health, Vol. 8, pp. 599550-599567, 2020.

  • S. Fouladi and A. Ahmadian, “Efficient Deep Neural Networks for Classification of COVID-19 based on CT Images: Virtualization via Software Defined Radio”, Computer Communications, Vol. 176, pp. 234-248, 2021.

  • K. Srihari, S. Chandragandhi and A. Kaur, “Analysis of Protein-Ligand Interactions of SARS-Cov-2 against Selective Drug using Deep Neural Networks”, Big Data Mining and Analytics, Vol. 4, No. 2, pp. 76-83, 2021.

  • A. Fathan and W.H. Kang, “An Ensemble Approach for the Diagnosis of COVID-19 from Speech and Cough Sounds”, Proceedings of International Conference on Speech and Computer, pp. 190-201, 2021.

  • V. Maheshwari, A. ParimalaGandhi and V.P. Sundramurthy, “Nanotechnology-Based Sensitive Biosensors for COVID-19 Prediction Using Fuzzy Logic Control”, Journal of Nanomaterials, Vol. 2021, pp. 1-8, 2021.

  • P. Arulprakash and P. Dhinakar, “Analysis of Convolutional Recurrent Neural Network Classifier for COVID-19 Symptoms over Computerised Tomography Images”, International Journal of Computer Applications in Technology, Vol. 66, No. 3-4, pp. 427-432, 2021,

  • S.S. Stevens and E.B. Newman, “The Mel Scale Equates the Magnitude of Perceived Differences in Pitch at Different Frequencies”, Journal of the Acoustical Society of America, Vol. 8, No. 3, pp. 185-190, 1937.

  • B.W. Schuller, “COVID-19 and Computer Audition: An Overview on What Speech and Sound Analysis Could Contribute in theSARS-CoV-2 Corona Crisis”, Frontiers in Digital Health, Vol. 3, pp. 1-14, 2021.


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  • An Multi Threshold Model for COVID Patients with Initial Identification of Disease

Abstract Views: 176  |  PDF Views: 1

Authors

M. Ramkumar
Department of Computer Science and Business Systems, Knowledge Institute of Technology, India
V. Amirtha Preeya
Department of Computer Science Engineering, Presidency University, India
V. Sathiyapriya
Department of Computer Science and Engineering, Knowledge Institute of Technology, India
M. Marimuthu
Department of Computer Science and Engineering, Sona College of Technology, India

Abstract


Many strains of corona virus such as alpha, beta, gamma, delta, and omicron are still prevalent in various parts of the world. The new type of corona virus is called a variant when it is caused by more than one genetic mutation from the previous type of corona virus. Various strains around the world have come so far. The cough may persist for more than an hour or three or four times in 24 hours and body heat is high. You may not be able to feel the smell or taste. Researchers say that some people may have symptoms similar to those of a severe cold. In this paper, a multi threshold model was proposed to find the initial infection detection of COVID disease. Based on the initial health symptoms these methods observe the inputs of the patients. Then the observed symptoms are compared with the existing database and identify the spreading of the disease. This report was directly monitored by the patient and doctor. This model was helpful to provide the periodical monitoring and perfect treatments to the infected patients.Many strains of corona virus such as alpha, beta, gamma, delta, and omicron are still prevalent in various parts of the world. The new type of corona virus is called a variant when it is caused by more than one genetic mutation from the previous type of corona virus. Various strains around the world have come so far. The cough may persist for more than an hour or three or four times in 24 hours and body heat is high. You may not be able to feel the smell or taste. Researchers say that some people may have symptoms similar to those of a severe cold. In this paper, a multi threshold model was proposed to find the initial infection detection of COVID disease. Based on the initial health symptoms these methods observe the inputs of the patients. Then the observed symptoms are compared with the existing database and identify the spreading of the disease. This report was directly monitored by the patient and doctor. This model was helpful to provide the periodical monitoring and perfect treatments to the infected patients.

Keywords


Alpha, Beta, Gamma, Delta, Omicron, COVID, Threshold Model.

References