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Explainable Artificial Intelligence Warning Model Using an Ensemble Approach for In-Hospital Cardiac...

Explainable Artificial Intelligence Warning Model Using an Ensemble Approach for In-Hospital Cardiac...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_6a95281eed4d41de9b922f4d82268072

Explainable Artificial Intelligence Warning Model Using an Ensemble Approach for In-Hospital Cardiac Arrest Prediction: Retrospective Cohort Study

About this item

Full title

Explainable Artificial Intelligence Warning Model Using an Ensemble Approach for In-Hospital Cardiac Arrest Prediction: Retrospective Cohort Study

Publisher

Canada: Journal of Medical Internet Research

Journal title

Journal of medical Internet research, 2023-12, Vol.25 (18), p.e48244-e48244

Language

English

Formats

Publication information

Publisher

Canada: Journal of Medical Internet Research

More information

Scope and Contents

Contents

Cardiac arrest (CA) is the leading cause of death in critically ill patients. Clinical research has shown that early identification of CA reduces mortality. Algorithms capable of predicting CA with high sensitivity have been developed using multivariate time series data. However, these algorithms suffer from a high rate of false alarms, and their r...

Alternative Titles

Full title

Explainable Artificial Intelligence Warning Model Using an Ensemble Approach for In-Hospital Cardiac Arrest Prediction: Retrospective Cohort Study

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_6a95281eed4d41de9b922f4d82268072

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_6a95281eed4d41de9b922f4d82268072

Other Identifiers

ISSN

1438-8871,1439-4456

E-ISSN

1438-8871

DOI

10.2196/48244

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