Do you want to improve your writing? Try our new evaluation service and get detailed feedback.
Check Your Text it's free

The Covid-19 pandemic has spread frighteningly and rapidly

The Covid-19 pandemic has spread frighteningly and rapidly OyPdd
Abstract: The Covid-19 pandemic has spread frighteningly and rapidly in all countries of the world, forcing humanity to lead an abnormal life, and the matter has been further complicated by the emergence of new strains of this epidemic, which appear to be more infectious and possibly more dangerous. The lack of full control over this epidemic and its new strains and the challenge of developing fully effective vaccinations endangers human life. Fighting against the epidemic has become important, as all these measures could not be taken in the near future. For this reason, it is important to find out whether a person infected with the virus expressed in thousands of people has Covid-19 or not and to take the necessary measures. For this purpose, in this study, we propose an artificial intelligence-based method has that will speed up the diagnosis of the pandemic by saving labour and expense. In the study, X-Ray images were processed with the most up-to-date deep image processing techniques, and an objective decision support system was created, independent of the doctors’ expertise. Our proposed system can classify x-ray images as Normal, Covid -19, and Viral Pneumonia using pre-trained deep learning networks (AlexNet, MobileNetV2, GoogleNet, ResNet8, and ResNet50) with transfer learning (TL) and K-fold validation (KFCV). The overall accuracies of the networks (AlexNet, MobileNetV2, GoogleNet, ResNet8, and ResNet50) were 98%, 97. 4%, 97. 4%, 97. 4%, 98. 5% respectively. Also, for the average performance metrics values (Sensitivity, Specificity, Precision, F1-score, and Negative predictive value(NPV)). The best results were recorded by ResNet 50+TL+KFCV (97. 9% Sensitivity, 98. 9% Specificity, 97. 9% Precision, 97. 9 % F1-Score, and 98. 9% NPV ). It is easy to diagnose in the advanced stages of the disease. As with most diseases, early diagnosis is important in COVID-19. With the proposed system based on deep learning, a very useful tool in combating the pandemic has been created by determining the disease at an early stage. The proposed system can also be used in areas with a shortage of health personnel such as rural and remote areas.
Abstract:

The Covid-19 pandemic has spread
frighteningly
and
rapidly
in all countries of the world, forcing humanity to lead an abnormal life, and the matter has been
further
complicated by the emergence of new strains of this epidemic, which appear to be more infectious and
possibly
more
dangerous
. The lack of full control over this epidemic and its new strains and the challenge of developing
fully
effective vaccinations endangers human life. Fighting against the epidemic has become
important
, as all these measures could not
be taken
in the near future.
For this reason
, it is
important
to find out whether a person infected with the virus expressed in thousands of
people
has Covid-19 or not and to take the necessary measures.

For this purpose, in this study, we propose an artificial intelligence-based method has that will
speed up
the diagnosis of the pandemic by saving
labour
and expense. In the study, X-Ray images
were processed
with the most up-to-date deep image processing techniques, and an objective decision support
system
was created
, independent of the doctors’ expertise. Our proposed
system
can classify x-ray images as Normal,
Covid
-19, and Viral Pneumonia using pre-trained deep learning networks (
AlexNet
, MobileNetV2,
GoogleNet
, ResNet8, and ResNet50) with transfer learning (TL) and K-fold validation (
KFCV
). The
overall
accuracies of the networks (
AlexNet
, MobileNetV2,
GoogleNet
, ResNet8, and ResNet50) were 98%, 97. 4%, 97. 4%, 97.
4%
, 98. 5%
respectively
.

Also
, for the average performance metrics values (Sensitivity, Specificity, Precision, F1-score, and
Negative
predictive value(NPV)). The best results
were recorded
by
ResNet
50+TL+
KFCV
(97. 9% Sensitivity, 98. 9% Specificity, 97.
9%
Precision, 97. 9 % F1-Score, and 98. 9% NPV
)
.

It is easy to diagnose in the advanced stages of the disease. As with most diseases, early diagnosis is
important
in COVID-19. With the proposed
system
based on deep learning, a
very
useful tool in combating the pandemic has
been created
by determining the disease at an early stage. The proposed
system
can
also
be
used
in areas with a shortage of health personnel such as rural and remote areas.
What do you think?
  • This is funny writingFunny
  • I love this writingLove
  • This writing has blown my mindWow
  • It made me angryAngry
  • It made me sadSad

IELTS essay The Covid-19 pandemic has spread frighteningly and rapidly

Essay
  American English
5 paragraphs
343 words
5.5
Overall Band Score
Coherence and Cohesion: 5.5
  • Structure your answers in logical paragraphs
  • ?
    One main idea per paragraph
  • Include an introduction and conclusion
  • Support main points with an explanation and then an example
  • Use cohesive linking words accurately and appropriately
  • Vary your linking phrases using synonyms
Lexical Resource: 5.5
  • Try to vary your vocabulary using accurate synonyms
  • Use less common question specific words that accurately convey meaning
  • Check your work for spelling and word formation mistakes
Grammatical Range: 6.5
  • Use a variety of complex and simple sentences
  • Check your writing for errors
Task Achievement: 5.0
  • Answer all parts of the question
  • ?
    Present relevant ideas
  • Fully explain these ideas
  • Support ideas with relevant, specific examples
Labels Descriptions
  • ?
    Currently is not available
  • Meet the criteria
  • Doesn't meet the criteria
Recent posts
  • 8.5band
    Should zoos exist or not?
    Zoos have eternally been a customary place to see animals for adolescents, students as well as adults. Notwithstanding, there are multitudinous controversies in the issue of confining animals to cages merely for the sake of human's amusement, as animal rights activists have always persisted to the p...
  • 6band
    Global warming is rising a lot. extent
    A certain number of people think that global warming is the most alerting problems we have right now while some of them feel that cutting forests is more harmful for the world too. Global warming is a vexing issue although, deforestation has also destroyed the atmosphere a lot. This essay will discu...
  • 6band
    some people believe that Internet users able to say anything. Another think government should limit
    In model life today, Internet is very important for everyone, and all of people can make communication or command whatever they want on it. However, some of those who believe that all of users can say anything that they want to show their opinion online. But some them thinks that governments or comp...
  • 5band
    With a view to encouraging locals to visit museums and historic places, government should administer the following measures
    With a view to encouraging locals to visit museums and historic places, government should administer the following measures. First, it is crucial that museums and heritage sites receive more media coverage. For example, should news about public events taking place at these locations be frequently b...
  • 6band
    Both men and women are care more about their attention appearance today than they did in the past.
    Modern women and men are supposed to pay more attention to their images than the previous ones. I concur with this statement due to some reasons presented below. First, appearance conceivably exerts a more significant influence on people's judgments. It is widely believed that clothes and images inf...
  • 5.5band
    Advantages and Disadvantages of Mobile Phone
    In this digital era, the mode of communication has been drasticaly changed when compare to the treditional methods. We will highlight some merits & demerits of cell phones which will give a better understanding on new technical mode of exchanging dialogs & multi-media. Today, because of rabid devel...