Open resource of clinical data from patients with pneumonia for the prediction of COVID-19 outcomes via deep learning

Data from patients with coronavirus disease 2019 (COVID-19) are essential for guiding clinical decision making, for furthering the understanding of this viral disease, and for diagnostic modelling. Here, we describe an open resource containing data from 1,521 patients with pneumonia (including COVID...

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Veröffentlicht in:	Nature biomedical engineering 2020-12, Vol.4 (12), p.1197-1207
Hauptverfasser:	Ning, Wanshan, Lei, Shijun, Yang, Jingjing, Cao, Yukun, Jiang, Peiran, Yang, Qianqian, Zhang, Jiao, Wang, Xiaobei, Chen, Fenghua, Geng, Zhi, Xiong, Liang, Zhou, Hongmei, Guo, Yaping, Zeng, Yulan, Shi, Heshui, Wang, Lin, Xue, Yu, Wang, Zheng
Format:	Artikel
Sprache:	eng
Schlagworte:	13/1 13/21 13/31 13/56 38/77 631/114 631/1647 631/326 692/699 692/700 Algorithms Biomedical and Life Sciences Biomedical Engineering/Biotechnology Biomedicine Chest Computed tomography Coronaviridae Coronaviruses COVID-19 COVID-19 - pathology COVID-19 - virology Decision making Deep Learning Diagnostic systems Female Humans Machine learning Male Medical imaging Morbidity Mortality Pandemics Pneumonia Pneumonia, Viral - pathology Pneumonia, Viral - virology Predictions Resource management Respiratory diseases ROC Curve SARS-CoV-2 - pathogenicity Severe acute respiratory syndrome coronavirus 2 Tomography, X-Ray Computed - methods Viral diseases
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