A Machine learning Classification approach for detection of Covid 19 using CT images

Coronavirus disease 2019 popularly known as COVID 19 was first found in Wuhan, China in December 2019. World Health Organization declared Covid 19 as a transmission disease. The symptoms were cough, loss of taste, fever, tiredness, respiratory problem. These symptoms were likely to show within 11-14 days. The RT-PCR and rapid antigen biochemical tests were done for the detection of COVID 19. In addition to biochemical tests, X-Ray and Computed Tomography (CT) images are used for the minute details of the severity of the disease. To enhance efficiency and accuracy of analysis/detection of COVID images and to reduce of doctors' time for analysis could be addressed through Artificial Intelligence. The dataset from Kaggle was utilized to analyze. The statistical and GLCM features were extracted from CT images for the classification of COVID and NON-COVID instances in this study. CT images were used to extract statistical and GLCM features for categorization. In the proposed/prototype model, we achieved the classification accuracy of 91%, and 94.5% using SVM and Random Forest respectively.

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).

A smart automatic sanitizer dispenser and body temperature inspection machine

As we all know the saying "Health is wealth", it should be a mantra for everyone because we are in such a world. We need to have a contactless automatic sanitize dispenser machine (ASDM) so that we can protect ourselves from harmful bacteria. The novel 2019 Coronavirus (2019-nCoV) is new and widespread in the year 2019 and it is truly an unusual respiratory Coronavirus 2 (SARS-CoV-2). The spread of the disease is from person to person, which facilitates the spread. To reduce the spread of Coronavirus, any contact between people and potential carriers of the virus should be limited. Hand hygiene is important to control the spread of COVID-19 and it is more contagious in places where pollution is high and in public transport, markets, conclaves and other public places. Under the present circumstances, the social distance of public places and the need for constant disinfection. A low-cost and easy-to-access portable IoT based device is now implemented and installed where needed. This device not only spreads the sanitizer when a person's hand reaches the nozzle of the sanitizer-bottle but also checks the body temperature and it turns on the Red LED and alerts the person by making sound on the buzzer when the temperature limit is exceeded;otherwise it turns on the Green LED. © 2022 Author(s).