Characterisation of Human Exhaled Breath Gases for Chronic Obstructive Pulmonary Disease Utilising an E-Nose Sensor and the Bi-LSTM Algorithm
A proficient real-time decision support system has the potential to reduce the daily probability of acute exacerbation and loss of control for those suffering from chronic obstructive pulmonary disease (COPD). Applying statistical learning techniques to well-structured, medical E-nose data typicall...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
OICC Press
2025-04-01
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| Series: | Majlesi Journal of Electrical Engineering |
| Subjects: | |
| Online Access: | https://oiccpress.com/mjee/article/view/10823 |
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