Please use this identifier to cite or link to this item:
http://bura.brunel.ac.uk/handle/2438/21305Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Nandi, AK | - |
| dc.contributor.author | Roberts, DJ | - |
| dc.contributor.author | Nandi, AK | - |
| dc.date.accessioned | 2020-07-29T13:51:25Z | - |
| dc.date.available | 2020-02-17 | - |
| dc.date.available | 2020-07-29T13:51:25Z | - |
| dc.date.issued | 2020-02-17 | - |
| dc.identifier.citation | Transfusion, 2020 | en_US |
| dc.identifier.issn | 0041-1132 | - |
| dc.identifier.issn | http://dx.doi.org/10.1111/trf.15705 | - |
| dc.identifier.uri | http://bura.brunel.ac.uk/handle/2438/21305 | - |
| dc.language.iso | en | en_US |
| dc.publisher | Wiley | en_US |
| dc.title | Prediction paradigm involving time series applied to total blood issues data from England | en_US |
| dc.type | Article | en_US |
| dc.identifier.doi | http://dx.doi.org/10.1111/trf.15705 | - |
| dc.relation.isPartOf | Transfusion | - |
| pubs.publication-status | Published | - |
| Appears in Collections: | Dept of Electronic and Electrical Engineering Research Papers | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| FullText.pdf | 397.99 kB | Adobe PDF | View/Open |
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