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COVID-19 PATIENTS ANALYSIS AND RISK PREDICTION BASED ON LIFESTYLE DISEASES THROUGH INDIAN DATASET
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A Novel Coronavirus disease (COVID-19) is a
transferable virus triggered by a recently revealed
coronavirus. World Health Organization (WHO) declared
it as pandemic worldwide. COVID-19 was originated from
Wuhan, a city of China and spared over the more than 190
countries over the word. The USA, Spain, Italy, France
even India and every country suffered a lot by this
epidemic. The indications of COVID-19 are Fever, Cough,
Shortness of breath or trouble in breathing, Chills,
Repeated shaking with chills, Muscle torment, Headache,
Sore throat which is normal as any formal flue which each
individual feel during season transition. In this article, the
statistical analysis like chi-square analysis, age-wise and
diseases-wise classification of recovered and deceased
patients are performed and also the different types of
Machine Learning models like Multiple linear regression,
Naive Bayes Classifier, and Multilayer Perceptron
Classifier are proposed for formal analysis and risk
prediction of patients with different age group and
individuals having lifestyle-based diseases with COVID-19.
The dataset used for this study downloaded
from covid19india.org, available in .csv format which
included travel history of patients, relation with any
existing COVID-19 patient, and record of any lifestylebased diseases like diabetes, hypertension, respiratory
problem, etc.
Title: COVID-19 PATIENTS ANALYSIS AND RISK PREDICTION BASED ON LIFESTYLE DISEASES THROUGH INDIAN DATASET
Description:
A Novel Coronavirus disease (COVID-19) is a
transferable virus triggered by a recently revealed
coronavirus.
World Health Organization (WHO) declared
it as pandemic worldwide.
COVID-19 was originated from
Wuhan, a city of China and spared over the more than 190
countries over the word.
The USA, Spain, Italy, France
even India and every country suffered a lot by this
epidemic.
The indications of COVID-19 are Fever, Cough,
Shortness of breath or trouble in breathing, Chills,
Repeated shaking with chills, Muscle torment, Headache,
Sore throat which is normal as any formal flue which each
individual feel during season transition.
In this article, the
statistical analysis like chi-square analysis, age-wise and
diseases-wise classification of recovered and deceased
patients are performed and also the different types of
Machine Learning models like Multiple linear regression,
Naive Bayes Classifier, and Multilayer Perceptron
Classifier are proposed for formal analysis and risk
prediction of patients with different age group and
individuals having lifestyle-based diseases with COVID-19.
The dataset used for this study downloaded
from covid19india.
org, available in .
csv format which
included travel history of patients, relation with any
existing COVID-19 patient, and record of any lifestylebased diseases like diabetes, hypertension, respiratory
problem, etc.
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