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.ML can identify illness and viral infections more precisely, allowing patients’ ailments to be identified earlier, severe phases of diseases to be avoided, and fewer people to be treated. Read More: https://bit.ly/3HGu9NY For Enquiry: India: +91 91769 66446 UK: +44 7537144372 Email: info@phdassistance.com

1. Dissertation on Computer
S cience:MachineLearning
Algorithm to Predict Covid'19
An Academic presentation by
Dr. Nancy Agnes, Head, Technical Operations,
Phdassistance Group www.phdassistance.com
Email: info@phdassistance.com

2. Today's Discussion
Introduction
Machine Learning and Covid-19
Prediction and Forecasting Strategies
Forecasting
Conclusion

3. 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...

5. 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 artificial intelligence applications in
medical therapy.
The work is difficult because the researchers must select the appropriate tool: it is
a life or death situation.
Contd...

6. PhD Assistance develop ML algorithms using
Python, Hadoop framework and many more to
both secure access control in Networking
platforms.
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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...

7. 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.

8. 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...

9. 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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10. 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...

11. Similarly, the naive approach, moving average,
simple exponential smoothing, Holt's linear trend
model, Holt-Winters model,
Moving
Seasonal
Average
Autoregressive
Exxogenous
Integrated
Model (SARIMAX), and
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...

12. Time series analysis, which is an essential element of ML, may be utilised
for predicting using ML.
It's a form of univariate regression
(independent feature), time, is used
in which only one input
to anticipate the target
factor
feature
(dependent feature).
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13. 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...

14. 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.

15. 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...

16. 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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