Integrative analysis for COVID-19 patient outcome prediction

Hanqing Chao,Xi Fang,Jiajin Zhang,Fatemeh Homayounieh,Chiara D. Arru,Subba R. Digumarthy,Rosa Babaei,Hadi K. Mobin,Iman Mohseni,Luca Saba,Alessandro Carriero,Zeno Falaschi,Alessio Pasche,Ge Wang,Mannudeep K. Kalra,Pingkun Yan

Medical Image Analysis（2021）

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摘要

•Holistic information in COVID-19 patients with imaging and non-imaging data can help predict patient outcome in terms of the need for ICU admission.•Validation of model over multiple sites is important to establish its generalizablity.•Both volume and radiomic features of pulmonary opacities are key to quantifying the extent of lung involvement.

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COVID-19,Chest CT,Outcome prediction,Artificial intelligence

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