Conference Paper/Proceeding/Abstract 373 views
Mining electronic health records to identify predictive factors associated with hospital admission for Campylobacter infections
Shang-ming Zhou 
,
Rahman A Muhammad,
Samuel Sheppard,
Robin Howe,
Ronan A Lyons,
Sinead Brophy
,
Rahman A Muhammad,
Samuel Sheppard,
Robin Howe,
Ronan A Lyons,
Sinead Brophy
The Lancet, Volume: 390, Start page: S99
Swansea University Author:
Shang-ming Zhou
Full text not available from this repository: check for access using links below.
DOI (Published version): 10.1016/S0140-6736(17)33034-9
Abstract
Mining electronic health records to identify predictive factors associated with hospital admission for Campylobacter infections
| Published in: | The Lancet |
|---|---|
| ISSN: | 01406736 |
| Published: |
2017
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| Online Access: |
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa49928 |
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| Item Description: |
Meeting Abstract |
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| College: |
Faculty of Medicine, Health and Life Sciences |
| Start Page: |
S99 |