Artificial neural networks for predicting failure to survive following in- hospital cardiopulmonary resuscitation

Mark H. Ebell

Research output: Contribution to journalArticle

60 Citations (Scopus)
Original languageEnglish (US)
Pages (from-to)297-303
Number of pages7
JournalJournal of Family Practice
Volume36
Issue number3
StatePublished - Jan 1 1993
Externally publishedYes

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False Negative Reactions
False Positive Reactions
Predictive Value of Tests
Neural Networks (Computer)
Public Hospitals
Artificial Intelligence
Cardiopulmonary Resuscitation
Hospital Mortality
Treatment Failure
Retrospective Studies
Sensitivity and Specificity
100 to 299 Hospital Bed Capacity

ASJC Scopus subject areas

  • Public Health, Environmental and Occupational Health

Cite this

Artificial neural networks for predicting failure to survive following in- hospital cardiopulmonary resuscitation. / Ebell, Mark H.

In: Journal of Family Practice, Vol. 36, No. 3, 01.01.1993, p. 297-303.

Research output: Contribution to journalArticle

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