Publication Type : Conference Paper
Publisher : Proceedings of the 2nd International Conference on Electronics and Sustainable Communication Systems
Source : Proceedings of the 2nd International Conference on Electronics and Sustainable Communication Systems, ICESC 2021, 2021, pp. 1892–1896
Campus : Amritapuri
School : School of Engineering
Center : Computer Vision and Robotics, Research & Projects
Department : Computer Science
Verified : Yes
Year : 2021
Abstract : COVID-19 and related infections are on the surge around the world, posing new threats to our society. There is a clear motivation to implement protective measures that aid in the effective control of future outbreaks or pandemics. The effect of the COVID-19 pandemic has prompted a flood of studies aimed at deeper understanding, monitoring, and also controlling the disease. Machine learning is increasingly becoming more prevalent in the area of medical diagnosis. With this paper, we will classify whether the patient is affected with covid or not and elucidate the significance of every attribute on the output using SHAP (SHapley Additive exPlanation).