BIO-CXRNET: A Robust Multimodal Stacking Machine Learning Technique for Mortality Risk Prediction of COVID-19 Patients using Chest X-Ray Images and Clinical Data. (arXiv:2206.07595v1 [eess.IV])

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

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