Detection of COVID-19 Using CNN and ML Algorithms

As we see coronavirus is the very dangerous diseases and to identify this diseases in one's body is also not as easy. So during identification of diseases there are many false positive cases we see that person does not have corona and still the prediction comes true and also in some cases, it happens that person has corona but it does not get detected (false negative case). So due to this problem, we here come up with the two approaches and make comparison between these two approaches and decide which one is better to analyze the diseases in the body. We are using CNN to scan chest X-ray dataset and ML algorithms for tabular dataset as it contains many text information too. So in this project, we explain in detail, what is CNN, what is ML, how to implement CNN and ML algorithms on particular dataset, what output we will get as a comparison. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

Diagnosis of COVID-19 Using Artificial Intelligence Techniques

Artificial intelligence is being used in a variety of ways by those trying to address variants and for data management. AI, on the other hand, not only uses historical data, it makes assumptions about the data without applying a defined set of rules. This allows the software to learn and adapt to information patterns in more real time. Numerous sources of medical images (e.g., X-ray, CT, and MRI) make deep learning a great technique to combat the COVID-19 outbreak. Motivated by this fact, a large number of research works have been proposed and developed. Chest CT is an emergency diagnostic tool to identify lung disease. Artificial intelligence (AI) gives big guidance in the rapid analysis of CT scans to differentiate variants of COVID-19 findings. This work focuses on the recent advances of COVID-19 drug and vaccine development using artificial intelligence and the potential of intelligent training for the discovery of COVID-19 therapeutics. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

Diagnosis of COVID-19 Using Artificial Intelligence Techniques

Artificial intelligence is being used in a variety of ways by those trying to address variants and for data management. AI, on the other hand, not only uses historical data, it makes assumptions about the data without applying a defined set of rules. This allows the software to learn and adapt to information patterns in more real time. Numerous sources of medical images (e.g., X-ray, CT, and MRI) make deep learning a great technique to combat the COVID-19 outbreak. Motivated by this fact, a large number of research works have been proposed and developed. Chest CT is an emergency diagnostic tool to identify lung disease. Artificial intelligence (AI) gives big guidance in the rapid analysis of CT scans to differentiate variants of COVID-19 findings. This work focuses on the recent advances of COVID-19 drug and vaccine development using artificial intelligence and the potential of intelligent training for the discovery of COVID-19 therapeutics. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

Detection of COVID-19 Using CNN and ML Algorithms

As we see coronavirus is the very dangerous diseases and to identify this diseases in one’s body is also not as easy. So during identification of diseases there are many false positive cases we see that person does not have corona and still the prediction comes true and also in some cases, it happens that person has corona but it does not get detected (false negative case). So due to this problem, we here come up with the two approaches and make comparison between these two approaches and decide which one is better to analyze the diseases in the body. We are using CNN to scan chest X-ray dataset and ML algorithms for tabular dataset as it contains many text information too. So in this project, we explain in detail, what is CNN, what is ML, how to implement CNN and ML algorithms on particular dataset, what output we will get as a comparison. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

Chest X-ray image based COVID prediction using machine learning

This work is towards COVID-19 infection detection by analyzing chest X-Rays. Since the recent and sudden spike in the rate of COVID-19 infections across the globe, several alternative screening approaches and strategies have been developed to identify infected cases of COVID-19. Our aim is to develop a machine-learning based model and design exploration to learn the architecture design starting from initial design prototype and machine learning technique to detect COVID-19 in.a simpler manner. Therefore developing an automated analysis system is required to save medical professionals valuable time. © 2022 Author(s).