Web: http://arxiv.org/abs/2206.07595

June 16, 2022, 1:13 a.m. | Tawsifur Rahman, Muhammad E. H. Chowdhury, Amith Khandakar, Zaid Bin Mahbub, Md Sakib Abrar Hossain, Abraham Alhatou, Eynas Abdalla, Sreekumar Muthiya

cs.CV updates on arXiv.org arxiv.org

Fast and accurate detection of the disease can significantly help in reducing
the strain on the healthcare facility of any country to reduce the mortality
during any pandemic. The goal of this work is to create a multimodal system
using a novel machine learning framework that uses both Chest X-ray (CXR)
images and clinical data to predict severity in COVID-19 patients. In addition,
the study presents a nomogram-based scoring technique for predicting the
likelihood of death in high-risk patients. This …

arxiv bio covid covid-19 data images learning machine machine learning multimodal patients prediction risk x-ray

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