Proceedings of the First International Conference on Computing, Communication and Control System, I3CAC 2021, 7-8 June 2021, Bharath University, Chennai, India

Research Article

An analysis of Human Metabolic changes in Covid-19 pandemic scenario with the use of Bio-Informatics data for Thyroid disease using Machine Learning System

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  • @INPROCEEDINGS{10.4108/eai.7-6-2021.2308872,
        author={Katikireddy  Srinivas and Dr K V D  Kiran},
        title={An analysis of Human Metabolic changes in Covid-19 pandemic scenario with the use of Bio-Informatics data for Thyroid disease using Machine Learning System},
        proceedings={Proceedings of the First International Conference on Computing, Communication and Control System, I3CAC 2021, 7-8 June 2021, Bharath University, Chennai, India},
        publisher={EAI},
        proceedings_a={I3CAC},
        year={2021},
        month={6},
        keywords={machine learning medical emergency covid-19 telemedicine digital health clustering thyroid},
        doi={10.4108/eai.7-6-2021.2308872}
    }
    
  • Katikireddy Srinivas
    Dr K V D Kiran
    Year: 2021
    An analysis of Human Metabolic changes in Covid-19 pandemic scenario with the use of Bio-Informatics data for Thyroid disease using Machine Learning System
    I3CAC
    EAI
    DOI: 10.4108/eai.7-6-2021.2308872
Katikireddy Srinivas1,*, Dr K V D Kiran2
  • 1: Research Scholar, Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India
  • 2: Professor, Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India
*Contact email: srinivas.katikireddy@gmail.com

Abstract

The Recent time the entire world had great experience of human mistakes with respect to environment safety and bio diversity leads to wonderful technological development along with danger symptoms of human life survival by increasing pollution levels to abnormal ranges.Covid-19 pandemic situation handling had shown the negative shade of technology development which ignores environment safety. At this pandemic Covid-19 Medical Emergency situation, Machine learning is inspired to develop an automated drug evaluation system for the patients suffering with routine illness conditions from the existing valid drug bank using a blend of clustering methods. The present pandemic disease covid-19 virus has explored the scope of Medical infrastructures to be improved world wide even in the 21st century. Tele medicine and digital health facilities to be incorporated using the Doctor, Patient, Network and relevant IT tools as the basic stakeholders to offer efficient, cost effective and better health facilities to common public. In this situation it is necessary to utilize software engineering information dependent on the physio synthetic properties and chemical hindrance properties of medication dataset given by standard medication bank storehouse derived from www.drugs.com, www.drugbank.ca and www.malacards.org. The existing grouping strategies are applied as a mix of k-implies, k-medoids, various leveled techniques and Fuzzy k-intends to decide a fitting