Covid Cases Predictions Using Machine Learning

The world is presently facing the challenges posed by COVID-19 (2019-nCoV), especially in the public health sector, and these challenges are dangerous to both health and life. The disease results in an acute respiratory infection that may result in pain and death. In Pakistan, the disease curve show

Project Title

Covid Cases Predictions Using Machine Learning

Project Area of Specialization

Artificial Intelligence

Project Summary

The world is presently facing the challenges posed by COVID-19 (2019-nCoV), especially in the public health sector, and these challenges are dangerous to both health and life. The disease results in an acute respiratory infection that may result in pain and death. In Pakistan, the disease curve shows a vertical trend by almost 256K established cases of the diseases and 6035 documented death cases till August 5, 2020.

The researchers predict that if the UK and USA don’t implement control measures, 81% of the population would eventually be infected; with around 510,000 people dying of COVID-19 in the UK and 2.2 million in the USA.

The COVID-19 pandemic has emerged very rapidly worldwide, affecting nearly 5,488,825 individuals with 349,095 deaths (WHO, 2020a, 2020b). Initially, COVID-19 was thought to be a zoonotic virus (bat to human transmission); however, recent studies and the exponential increases in the incidence of COVID-19 indicate complete evidence of transmission from person to person.

we can model the alogrithm that can find out the death, recovered and conformed cases of all over the pakistan.

Project Objectives

The objectives and Contribution of the proposed system are

1. The primary purpose of this study is to provide the statistical model to predict the trend of COVID-19 death cases in Pakistan. The age and gender of COVID-19 victims were represented using a descriptive study.
2. To provide an easy and user-friendly model for the next time Covid cases.
3. To make a proper procedure to prevent people from the Covid in the future.

Project Implementation Method

1? Dataset

To develop a model for prediction of Covid-19. A standard dataset is needed for this we select the dataset created by the NCOC (National Command and Operation center) by  government of pakistan.

This dataset include the data from the various cities of Pakistan and include the test result of all the citizen of Pakistan.  They include the death cases ,  recovered  cases   and also  the conformed cases from all over the country?

2.Development of the model

The primary purpose of this study is to provide the statistical model to predict the trend of COVID-19 death cases in Pakistan. The age and gender of COVID-19 victims were represented using a descriptive study.

Three regression models, which include Linear, logarithmic, and quadratic, were employed in this study for the modelling of COVID-19 death cases in Pakistan. These three models were compared based on R2, Adjusted R2, AIC, and BIC criterions. The data utilized for the modelling was obtained from the National Institute of Health of Pakistan from February 26, 2020 to August 5, 2020.

 We have proposed three regression models for the prediction of death cases by COVID-19 in Pakistan and selected quadratic modelling based on the model selection criterion are

1.Intercept                                                         

2.Linear Trend 

3.Quadratic Trend

Benefits of the Project

An industry that taking advantage of this project is the health care system.with all powered software when patient required or to help out physicians.

Due to this project the overall cases of covid 19 will be avaliable on database and any one can see it.

It show all the Conformed, Recovered and Death cases of the overall country.

Technical Details of Final Deliverable

As we mention, The COVID-19 pandemic has emerged very rapidly worldwide, affecting nearly 5,488,825 individuals with 349,095 deaths (WHO, 2020a, 2020b). Initially, COVID-19 was thought to be a zoonotic virus (bat to human transmission); however, recent studies and the exponential increases in the incidence of COVID-19 indicate complete evidence of transmission from person to person.

The world is presently facing the challenges posed by COVID-19 (2019-nCoV), especially in the public health sector, and these challenges are dangerous to both health and life. The disease results in an acute respiratory infection that may result in pain and death.

We can model different machine learning algorithm that can easily find the cases of covid-19, which make work easy for physicians to understand and deal with their patient

Final Deliverable of the Project

HW/SW integrated system

Core Industry

Medical

Other Industries

Education , IT

Core Technology

Artificial Intelligence(AI)

Other Technologies

Internet of Things (IoT)

Sustainable Development Goals

Good Health and Well-Being for People, Quality Education

Required Resources

If you need this project, please contact me on contact@adikhanofficial.com