Hybrid learning method based on feature clustering and scoring for enhanced COVID-19 breath analysis by an electronic nose
Breath pattern analysis based on an electronic nose (e-nose), which is a noninvasive, fast, and low-cost method, has been continuously used for detecting human diseases, including the coronavirus disease 2019 (COVID-19). Nevertheless, having big data with several available features is not always ben...
| Main Authors: | , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier B.V.
2022
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| Subjects: | |
| Online Access: | https://repository.ugm.ac.id/278872/1/Hybrid%20learning%20method%20based%20on%20feature%20clustering%20and%20scoring%20for%20enhanced%20COVID-19%20breath%20analysis%20by%20an%20electronic%20nose.pdf |