This site needs JavaScript to work properly. Please enable it to take advantage of the complete set of features!

Skip to main page content

Add to Collections

Your saved search

Name of saved search:

Search terms:

Test search terms

Would you like email updates of new search results?

Yes
No

Email: (change)

Frequency:

Which day?

Which day?

Report format:

Send at most:

Send even when there aren't any new results

Optional text in email:

Your RSS Feed

Comment

. 2015 Jan;3(1):5-6.

doi: 10.1016/S2213-2600(14)70268-1. Epub 2014 Nov 24.

Mortality prediction in ICU: a methodological advance

Affiliations

Affiliation

¹ Centre for Healthcare Randomised Trials, Health Services Research Unit, University of Aberdeen, Aberdeen AB25 2ZD, UK. Electronic address: j.norrie@abdn.ac.uk.

PMID: 25466334
DOI: 10.1016/S2213-2600(14)70268-1

Comment

Mortality prediction in ICU: a methodological advance

John Norrie. Lancet Respir Med. 2015 Jan.

. 2015 Jan;3(1):5-6.

doi: 10.1016/S2213-2600(14)70268-1. Epub 2014 Nov 24.

Author

Affiliation

¹ Centre for Healthcare Randomised Trials, Health Services Research Unit, University of Aberdeen, Aberdeen AB25 2ZD, UK. Electronic address: j.norrie@abdn.ac.uk.

PMID: 25466334
DOI: 10.1016/S2213-2600(14)70268-1

No abstract available

PubMed Disclaimer

Comment on

Mortality prediction in intensive care units with the Super ICU Learner Algorithm (SICULA): a population-based study.
Pirracchio R, Petersen ML, Carone M, Rigon MR, Chevret S, van der Laan MJ. Pirracchio R, et al. Lancet Respir Med. 2015 Jan;3(1):42-52. doi: 10.1016/S2213-2600(14)70239-5. Epub 2014 Nov 24. Lancet Respir Med. 2015. PMID: 25466337 Free PMC article.

Publication types

Actions

MeSH terms

Actions
Actions
Actions
Actions
Actions
Actions
Actions

Grants and funding

HSRU1/CSO_/Chief Scientist Office/United Kingdom

LinkOut - more resources

Full Text Sources
- ClinicalKey
- Elsevier Science