Brunel University Research Archive(BURA) preserves and enables easy and open access to all
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Research contained within BURA is open access, although some publications may be subject
to publisher imposed embargoes. All awarded PhD theses are also archived on BURA.
Please use this identifier to cite or link to this item:
http://bura.brunel.ac.uk/handle/2438/20326| Title: | Development of an E-nose System using Machine Learning Methods to Predict Ventilator-Associated Pneumonia |
| Authors: | Liao, Y-H Shih, C-H Abbod, M Shieh, J-S Hsiao, Y-J |
| Keywords: | ventilator-associated pneumonia;electronic nose;intensive care unit;support vector machine;artificial neural network |
| Issue Date: | 2020 |
| Publisher: | Springer Verlag |
| Citation: | Microsystem Technologies. |
| URI: | http://bura.brunel.ac.uk/handle/2438/20326 |
| ISSN: | 0946-7076 |
| Appears in Collections: | Dept of Electronic and Electrical Engineering Embargoed Research Papers |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| FullText.pdf | 1.12 MB | Adobe PDF | View/Open |
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