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-19 pneumonia) consisting of chest computed tomography (CT) images, 130 clinical features (from a range of biochemical and cellular analyses of blood and urine samples) and laboratory-confirmed severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) clinical status. We show the utility of the database for prediction of COVID-19 morbidity and mortality outcomes using a deep learning algorithm trained with data from 1,170 patients and 19,685 manually labelled CT slices. In an independent validation cohort of 351 patients, the algorithm discriminated between negative, mild and severe cases with areas under the receiver operating characteristic curve of 0.944, 0.860 and 0.884, respectively. The open database may have further uses in the diagnosis and management of patients with COVID-19. An open resource comprising chest computed tomography images and 130 clinical features of 1,521 patients with pneumonia, including COVID-19 pneumonia, facilitates the prediction of morbidity and mortality outcomes via deep learning.
【저자키워드】 Health care, Microbiology, Diseases, Biological techniques, Computational biology and bioinformatics, 【초록키워드】 COVID-19, coronavirus disease, SARS-CoV-2, Coronavirus disease 2019, coronavirus, COVID-19 pneumonia, deep learning, Pneumonia, Decision making, diagnostic, Diagnosis, outcome, severe acute respiratory syndrome Coronavirus, database, clinical status, Computed tomography, Chest computed tomography, management, Algorithm, morbidity, Patient, Urine, Mild, viral disease, morbidity and mortality, utility, characteristic, resource, patients, clinical feature, Blood, cellular, Analysis, receiver operating characteristic, acute respiratory syndrome, biochemical, acute respiratory syndrome coronavirus, acute respiratory syndrome coronavirus 2, clinical decision, Severe case, validation cohort, receiver, laboratory-confirmed, independent, facilitate, patients with COVID-19, patients with pneumonia, 【제목키워드】 COVID-19, outcome, resource, Clinical data, patients with pneumonia,