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Use of AI and Mathematical Models in Covid-19 Pandemic — Part 2

AI techniques could be very helpful in finding high-quality predictive models.

Due to the rapid spread of Covid-19, it has become extremely necessary to develop technologies to reduce the negative impact and increase the recovery rate. The Covid-19 virus has created tremendous pressure on the healthcare system. So that's when modern technologies like Artificial intelligence with its different applications can be extremely helpful. That's because these technologies are speedily becoming an essential part of the health care system. Due to this, it becomes important for AI startups to leverage their products. Today we shall see different AI applications used in disease diagnosis and approximations that can be helpful.


For detection of Covid-19 medical images like X-rays and Computed Tomography [CT scan] are helpful. With the X-ray image infection in the lungs can be detected and a CT scan takes multiple angle images to get cross-sectional images for more detailed medical information like pulmonary embolism, excess fluid, and pneumonia in the lungs. Apparently, the Covid-19 virus infects the lungs and respiratory system it helps in making a proper diagnosis. These supervised algorithms are used in a function to match input and output pairs. Algorithms that were used in the detection of Covid- 19 are,

  • Convolutional Neural Network (CNN)
  • Support Vector Machines (SVM)
  • Logistic Regression (LR)
  • Nayies Bayies (NB)
  • Decision Trees (DT) and Random Forest (RF)
  • Linear Discriminant Analysis (LDA)

We can say that Artificial intelligence can be really helpful in the early diagnosis of Covid-19 and its use can be very helpful for the Medical care system.




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Rupika Nimbalkar

Rupika Nimbalkar

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