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  • [\'School of Nursing, Kaohsiung Medical University, Kaohsiung, 807, Taiwan.\', \'Superintendent Office, Kaohsiung Medical University Hospital, Kaohsiung, 807, Taiwan.\', \'Management School, National Kaohsiung University of Science and Technology, Kaohsiung, 824, Taiwan.\', \'Department of Healthcare Administration and Medical Informatics, Kaohsiung Medical University, Kaohsiung, 807, Taiwan. whho@kmu.edu.tw.\', \'Department of Medical Research, Kaohsiung Medical University Hospital, Kaohsiung, 807, Taiwan. whho@kmu.edu.tw.\', \'Department of Healthcare Administration and Medical Informatics, Kaohsiung Medical University, Kaohsiung, 807, Taiwan. jttsai@mail.nptu.edu.tw.\', \'Department of Computer Science, National Pingtung University, Pingtung, 900, Taiwan. jttsai@mail.nptu.edu.tw.\']
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?:doi
  • 10.1186/s12859-021-04083-x
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  • BMC bioinformatics
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  • 34749629
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  • Classifying chest CT images as COVID-19 positive/negative using a convolutional neural network ensemble model and uniform experimental design method.
?:type
?:year
  • 2021

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