Dissertation on Computer Science: Machine Learning Algorithm to Predict Covid’19 - Phdassistance
                     Dissertation on Computer  
S cience: Machine 
Learning  Algorithm to 
Predict Covid'19
An Academic presentation by
Dr. Nancy Agnes, Head, Technical Operations, 
Phdassistance  Group www.phdassistance.com
Email: [email protected]
Today's 
Discussion
Introduction
Machine Learning and Covid-19  
Prediction and Forecasting Strategies 
 Forecasting
Conclusion
INTRODUCTION
Artificial intelligence and data science play a vital role  
in the health-care business in this era of automation.
Medical practitioners may simply manage their  
duties and patient care since these technologies is so  
well-connected.
Dependence on automated systems such as AI has  
increased in healthcare services.
Diagnostic procedures and treatments are now being  
greatly assisted by Machine Learning.
Contd...

Not just in medicine, but also in all other fields, MLs play a great role.
In the healthcare, both cutting down time, and accurate diagnosis are life saving, 
 and MLs enable that possible.
If the therapy has a high incidence of mistake, it may result in several fatalities.
As a result, scientists have begun to use artificialintelligence
applications in  medical therapy.
The work is difficult because the researchers must select the appropriate tool: it is 
 a life or death situation.
Contd...
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ML sets a new standard in the sphere of health  
care with this work.
Large datasets are analyzed and predicted using
machine learning techniques.
Contd...
These machine learning methods are utilized to categorize samples into  
treatment groups and detect illness signs.
Hospitals may use machine learning to keep administrative operations 
 running smoothly and cure infectious diseases.
ML methods have previously been used to treat cancer, pneumonia,  
diabetes, Parkinson's disease, arthritis, neuromuscular disorders, and a  
variety of other diseases; in prediction and forecasting, they provide more  
than 90% accuracy.
MACHINE LEARNING AND COVID-19
COVID-19 is a terrible pandemic illness that has claimed  
the lives of countless individuals all over the world.
This virus has no known therapy.
Based on symptoms described by the WHO and CDC,  
machine learning techniques have been applied to predict 
 whether individuals are infected with the virus.
On the basis of x-ray pictures, ML is also used to  
diagnose the illness.
Contd...
Patients' chest scans, for example, can be utilized to
determine  whether they are infected with COVID-19.
Furthermore, ML can detect social distance; with this technique, we can 
 keep ourselves secure from COVID-19.
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PREDICTION AND FORECASTING 
 STRATEGIES
To anticipate and forecast future occurrences, several
machine learning approaches are utilized.
Support vector machines, linear regression, logistic  
regression, naive Bayes, decision trees (random forest  
and ETC), K-nearest neighbor, and neural networks are  
some of the machine learning approaches used for  
prediction (multilayer perceptron).
Contd...
Similarly, the naive approach, moving
average,  simple exponential smoothing,
Hmoldt'esl, lineaHroltr-eWnidnters model, Seasonal 
Autoregressive Integrated Moving  
Exxogenous Model (SARIMAX),Averagned
Autoregressive Integrated Moving Average Model  
are some ML techniques used to forecast future  
events (ARIMA).
Each approach has its own characteristics and is  
utilised in a different way depending on the  
accuracy results.
Contd...
Time series analysis, which is an essential element of ML, may be utilised 
 for predicting using ML.
It's a form of univariate regression in which only one input factor 
(independent feature), time, is used  toanticipate the target  
(dependent feature). feature
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FORECASTING
Benefits of ML It's used to predict future event values,  
and it's very useful for predicting the occurrence of  
respiratory illnesses like COVID-19.
Positive instances are rising on a daily basis, thus it's  
important to estimate if the current ratio of increasing  
cases will continue based on previous data.
It is beneficial to the government because, based on the  
prognosis, it can organize resources to prevent illness  
transmission and act in the future so that the infection's  
growth rate slows and fewer people are affected.
Contd...
Forecast values cannot be guaranteed because they are entirely dependent
on  historical patterns.
This projected approximation of occurrences, on the other hand, may aid authorities in 
 assessing future resource planning in the case of a pandemic, such as COVID-19.
CONCLUSION
The COVID-19 epidemic has spread across the world.
Scientists have made every attempt to discover a cure;  
according to statements from the US and India, several  
vaccinations have been developed and are now being  
tested.
Scientists have been using computers to make early  
predictions for a long time.
Contd...
ML is being used in a lot of studies to fight COVID-19.
COVID-19 has resulted in a large number of fatalities in several nations.
If more datasets are provided, it is thought that the ARIMA model's performance can be 
 enhanced or that the model can provide more accurate data.
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