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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
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Paper Title
REGRESSION MODEL TO DETECT, PREDICT OXYGEN AND HOSPITALIZATION REQUIREMENTS OF COVID-19 PATIENTS
Authors
Monika Sree Saankhya Kathula, Pallavi Priya Kadiyam, Vaishnavi Kadapathri, Sunil Bhutada
Keywords
Logistic Regression, Django, Python, COVID-19, Symptoms, SPO2, Hospitalization
Abstract
COVID-19 pandemic is the deadliest crisis the entire world is going through. There are many active cases and deaths that have been brought about by the infection. The main symptoms of the disease include fever, dry cough, sore throat, tiredness and difficulty in breathing. To prevent the spread of disease, infected people should maintain hygiene and to be kept in isolation. Masks, sanitiser, and physical distance are to be maintained to control the spread of disease. This disease mainly affects the respiratory system thereby affecting the oxygen intake which is essential for human survival. In the present paperwork, we estimated the probability of a patient being affected with COVID-19 and estimated whether they need oxygen or should be hospitalized or if home quarantine is enough based on the given patient's details.
IJCRT's Publication Details
Unique Identification Number - IJCRT2106140
Paper ID - 208429
Page Number(s) - b146-b152
Pubished in - Volume 9 | Issue 6 | June 2021
DOI (Digital Object Identifier) - http://doi.one/10.1729/Journal.27213
Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Monika Sree Saankhya Kathula, Pallavi Priya Kadiyam, Vaishnavi Kadapathri, Sunil Bhutada, "REGRESSION MODEL TO DETECT, PREDICT OXYGEN AND HOSPITALIZATION REQUIREMENTS OF COVID-19 PATIENTS", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.9, Issue 6, pp.b146-b152, June 2021, Available at :http://www.ijcrt.org/papers/IJCRT2106140.pdf
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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