Cite this DOI

Ravindra Nath, R. N. (2022). STUDY OF COVID-19 AND PREDICTION OF FUTURE MODEL USING MACHINE LEARNING. *Journal of Science & Technology*, *7*(2), 112–120. https://doi.org/10.46243/jst.2022.v7.i02.pp112-120

@article{ravindranath2022study,
  author    = {Ravindra Nath, Ravindra Nath},
  title     = {{STUDY OF COVID-19 AND PREDICTION OF FUTURE MODEL USING MACHINE LEARNING}},
  journal   = {Journal of Science \& Technology},
  year      = {2022},
  month     = {jul},
  volume    = {7},
  number    = {2},
  pages     = {112--120},
  publisher = {Longman Publishers},
  issn      = {2456-5660},
  doi       = {10.46243/jst.2022.v7.i02.pp112-120},
  url       = {https://doi.org/10.46243/jst.2022.v7.i02.pp112-120},
  language  = {en},
  abstract  = {SARS-CoV-2, a novel coronavirus mostly known as COVID -19 has created a global pandemic. The world is now immobilized by this infectious RNA virus. This RNA virus has the ability to do the mutation in the human body. This study explores the mutation rate of the whole genomic sequence gathered from the patient's dataset of different countries. The collected dataset is processed to determine the nucleotide mutation and codon mutation separately. It has been found that a huge amount of Thymine (T) and Adenine (A) are mutated to other nucleotides for all regions, but codons are not frequently muta ting like nucleotides. Using this training and testing process, the nucleotide mutation rate of 400th patient in future time has been predicted. About 0.1\% increment in mutation rate is found for mutating of nucleotides from T to C and G, C to G and G to T . While a decrement of 0.1\% is seen for mutating of T to A, and A to C. It is found that this model can be used to predict day basis mutation rates if more patient data is available in updated time}
}

TY  - JOUR
TI  - STUDY OF COVID-19 AND PREDICTION OF FUTURE MODEL USING MACHINE LEARNING
AU  - Ravindra Nath, Ravindra Nath
JO  - Journal of Science & Technology
PY  - 2022
DA  - 2022/07/03/
VL  - 7
IS  - 2
SP  - 112
EP  - 120
PB  - Longman Publishers
SN  - 2456-5660
LA  - en
AB  - SARS-CoV-2, a novel coronavirus mostly known as COVID -19 has created a global pandemic. The world is now immobilized by this infectious RNA virus. This RNA virus has the ability to do the mutation in the human body. This study explores the mutation rate of the whole genomic sequence gathered from the patient's dataset of different countries. The collected dataset is processed to determine the nucleotide mutation and codon mutation separately. It has been found that a huge amount of Thymine (T) and Adenine (A) are mutated to other nucleotides for all regions, but codons are not frequently muta ting like nucleotides. Using this training and testing process, the nucleotide mutation rate of 400th patient in future time has been predicted. About 0.1% increment in mutation rate is found for mutating of nucleotides from T to C and G, C to G and G to T . While a decrement of 0.1% is seen for mutating of T to A, and A to C. It is found that this model can be used to predict day basis mutation rates if more patient data is available in updated time
DO  - 10.46243/jst.2022.v7.i02.pp112-120
UR  - https://doi.org/10.46243/jst.2022.v7.i02.pp112-120
ER  -

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    "DOI": "10.46243/jst.2022.v7.i02.pp112-120",
    "URL": "https://doi.org/10.46243/jst.2022.v7.i02.pp112-120",
    "title": "STUDY OF COVID-19 AND PREDICTION OF FUTURE MODEL USING MACHINE LEARNING",
    "source": "Smart Scholars DOI Registry",
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    "author": [
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            "family": "Ravindra Nath",
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    "volume": "7",
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    "publisher": "Longman Publishers",
    "language": "en",
    "abstract": "SARS-CoV-2, a novel coronavirus mostly known as COVID -19 has created a global pandemic. The world is now immobilized by this infectious RNA virus. This RNA virus has the ability to do the mutation in the human body. This study explores the mutation rate of the whole genomic sequence gathered from the patient's dataset of different countries. The collected dataset is processed to determine the nucleotide mutation and codon mutation separately. It has been found that a huge amount of Thymine (T) and Adenine (A) are mutated to other nucleotides for all regions, but codons are not frequently muta ting like nucleotides. Using this training and testing process, the nucleotide mutation rate of 400th patient in future time has been predicted. About 0.1% increment in mutation rate is found for mutating of nucleotides from T to C and G, C to G and G to T . While a decrement of 0.1% is seen for mutating of T to A, and A to C. It is found that this model can be used to predict day basis mutation rates if more patient data is available in updated time",
    "ISSN": "2456-5660"
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From the record as registered (version 2) — the record and its history. Programs: https://registry.smartscholars.in/api.php?action=cite&doi=10.46243%2Fjst.2022.v7.i02.pp112-120 gives all four in one JSON answer.