Advanced machine learning in action: identification of intracranial hemorrhage on computed tomography scans of the head with clinical workflow integration-Reference-Cited by-同舟云学术

Advanced machine learning in action: identification of intracranial hemorrhage on computed tomography scans of the head with clinical workflow integration

Published:2018-04-04 Issue:1 Volume:1 Page:
ISSN:2398-6352
Container-title:npj Digital Medicine
language:en
Short-container-title:npj Digital Med

Author:

Arbabshirani Mohammad R.,Fornwalt Brandon K.^ORCID,Mongelluzzo Gino J.,Suever Jonathan D.,Geise Brandon D.,Patel Aalpen A.,Moore Gregory J.

Publisher

Springer Science and Business Media LLC

Subject

Health Information Management,Health Informatics,Computer Science Applications,Medicine (miscellaneous)

Link

http://www.nature.com/articles/s41746-017-0015-z.pdf

Reference33 articles.

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3. van Asch, C. J. J. et al. Incidence, case fatality, and functional outcome of intracerebral haemorrhage over time, according to age, sex, and ethnic origin: a systematic review and meta-analysis. Lancet Neurol. 9, 167–176 (2010).

4. Zahuranec, D. B. et al. Intracerebral hemorrhage mortality is not changing despite declining incidence. Neurology 82, 2180–2186 (2014).

5. Mayer, S. A. et al. Global and domain-specific cognitive impairment and outcome after subarachnoid hemorrhage. Neurology 59, 1750–1758 (2002).

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