025 - Identifying Covid 19 status from Medical Images using Machine Learning and Deep Learning Models

Covid-19 makes a drastic requirement of knowing the status of covid positive in hospitals, labs, clinics, health centers. A plethora of patients, deficit of lab technician, huge uses of the medical devices/accessories, experiment ingredients, serge time of life and death events made the hospital and health systems inconsistent. As such the aim of the current study is to explore a quick way to detect covid from easily obtained medical images. Several machine learning models like generalized linear, linear discrimination, principal components, factor analysis, neural network, convoluted neural network, augmented neural network, recurrent neural network, random forest models, etc have been found in detecting the status of covid. The accuracy rate of these models have also been found.

Data Augmentation

Deep Learning

GLM

CNN

RNN