Hybrid learning method based on feature clustering and scoring for enhanced COVID-19 breath analysis by an electronic nose

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...

Full description

Bibliographic Details
Main Authors: Hidayat, Shidiq Nur, Julian, Trisna, Dharmawan, Agus Budi, Puspita, Mayumi, Chandra, Lily, Rohman, Abdul, Julia, Madarina, Rianjanu, Aditya, Nurputra, Dian Kesumapramudya, Triyana, Kuwat, Wasisto, Hutomo Suryo
Format: Article
Language:English
Published: Elsevier B.V. 2022
Subjects:
Paediatrics
Mathematics and Applied Sciences
Pharmacology and Pharmaceutical Sciences
Pharmaceutical Sciences
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

Internet

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

Similar Items