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Deep-learning-based out-of-hospital cardiac arrest prognostic system to predict clinical outcomes.

08:00 EDT 9th April 2019 | BioPortfolio

Summary of "Deep-learning-based out-of-hospital cardiac arrest prognostic system to predict clinical outcomes."

Out-of-hospital cardiac arrest (OHCA) is a major healthcare burden, and prognosis is critical in decision-making for treatment and the withdrawal of life-sustaining therapy. This study aimed to develop and validate a deep-learning-based out-of-hospital cardiac arrest prognostic system (DCAPS) for predicting neurologic recovery and survival to discharge.

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This article was published in the following journal.

Name: Resuscitation
ISSN: 1873-1570
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Occurrence of heart arrest in an individual when there is no immediate access to medical personnel or equipment.

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