Brunel University Research Archive(BURA) preserves and enables easy and open access to all
types of digital content. It showcases Brunel's research outputs.
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/2438/20326Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Liao, Y-H | - |
| dc.contributor.author | Shih, C-H | - |
| dc.contributor.author | Abbod, M | - |
| dc.contributor.author | Shieh, J-S | - |
| dc.contributor.author | Hsiao, Y-J | - |
| dc.date.accessioned | 2020-02-18T11:27:16Z | - |
| dc.date.available | 2020-02-18T11:27:16Z | - |
| dc.date.issued | 2020 | - |
| dc.identifier.citation | Microsystem Technologies. | en_US |
| dc.identifier.issn | 0946-7076 | - |
| dc.identifier.uri | http://bura.brunel.ac.uk/handle/2438/20326 | - |
| dc.description.sponsorship | Taiwan carbon nanometer technology corporation, Taiwan | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Springer Verlag | en_US |
| dc.subject | ventilator-associated pneumonia | en_US |
| dc.subject | electronic nose | en_US |
| dc.subject | intensive care unit | en_US |
| dc.subject | support vector machine | en_US |
| dc.subject | artificial neural network | en_US |
| dc.title | Development of an E-nose System using Machine Learning Methods to Predict Ventilator-Associated Pneumonia | en_US |
| dc.type | Article | en_US |
| dc.relation.isPartOf | Microsystem Technologies. | - |
| pubs.publication-status | Accepted | - |
| 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 |
Items in BURA are protected by copyright, with all rights reserved, unless otherwise indicated.