Deep learning approach for early prediction of COVID-19 mortality using chest X-ray and electronic health records

Seung Min Baik; Kyung Sook Hong; Dong Jin Park

doi:10.1186/s12859-023-05321-0

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JOURNAL ARTICLE

Deep learning approach for early prediction of COVID-19 mortality using chest X-ray and electronic health records

Seung Min Baik Kyung Sook Hong Dong Jin Park

Year: 2023 Journal: BMC Bioinformatics Vol: 24 (1)Pages: 190-190 Publisher: BioMed Central

DOI: 10.1186/s12859-023-05321-0

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Keywords:

Artificial intelligence Gradient boosting Random forest Multilayer perceptron Computer science Receiver operating characteristic Boosting (machine learning) Machine learning Convolutional neural network Coronavirus disease 2019 (COVID-19) Artificial neural network Cutoff Ensemble learning Health records Deep learning Predictive modelling Medicine Internal medicine Disease Infectious disease (medical specialty) Health care

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COVID-19 diagnosis using AI

Health Sciences → Medicine → Radiology, Nuclear Medicine and Imaging

Machine Learning in Healthcare

Physical Sciences → Computer Science → Artificial Intelligence

Artificial Intelligence in Healthcare and Education

Health Sciences → Medicine → Health Informatics

Deep learning approach for early prediction of COVID-19 mortality using chest X-ray and electronic health records

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