Automatic diagnosis of COVID-19 patients from unstructured data based on a novel weighting scheme
The extraction of features from unstructured clinical data of Covid-19 patients is critical for guiding clinical decision-making and diagnosing this viral disease. Furthermore, an early and accurate diagnosis of COVID-19 can reduce the burden on healthcare systems. In this paper, an improved Term We...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Tech Science Press
2023
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| Subjects: | |
| Online Access: | http://eprints.utm.my/106326/1/SitiSophiayatiYuhaniz2023_AutomaticDiagnosisofCOVID19Patients.pdf http://eprints.utm.my/106326/ http://dx.doi.org/10.32604/cmc.2023.032671 |
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