Concepedia

Machine learning as a supportive tool to recognize cardiac arrest in emergency calls

Stig Nikolaj Fasmer Blomberg, Fredrik Folke, Annette Kjær Ersbøll, Helle Collatz Christensen, Christian Torp‐Pedersen, Michael R. Sayre, Catherine R. Counts, Freddy Lippert

Resuscitation · 2019 · 210 citations · 25 references

Open access

Concepts

ComputingComputer ScienceEmergency MedicineEmergency Medical DispatchMachine LearningResuscitationCardiopulmonary ResuscitationClassificationIncident ClassificationPattern RecognitionCardiac Arrest Identification AlgorithmsCardiac Arrest Recognition SensitivityCardiac Arrest Recognition SpecificityIn-hospital Cardiac ArrestMachine Learning For Incident ClassificationOut-of-hospital Cardiac ArrestOut-of-hospital Cardiac Event IdentificationPositive Predictive Value

References

25

STATISTICAL METHODS FOR ASSESSING AGREEMENT BETWEEN TWO METHODS OF CLINICAL MEASUREMENT

J Martin Bland, DouglasG. Altman · The Lancet · 1986 · 47.6K citations

Natural Sciences, Biostatistics, Clinical Sciences +7

Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs

Varun Gulshan, Lily Peng, Marc Coram et al. · JAMA · 2016 · 7.5K citations

Computing, Computer Science, Ophthalmology +17

Clinically applicable deep learning for diagnosis and referral in retinal disease

Jeffrey De Fauw, Joseph R. Ledsam, Bernardino Romera‐Paredes et al. · Nature Medicine · 2018 · 2.6K citations

Medicine, Computer Science, Ophthalmology +14

Scalable and accurate deep learning with electronic health records

npj Digital Medicine · 2018 · 2.4K citations · Full text

Computing, Biomedical Informatics, Health Informatics +16

Scalable and accurate deep learning with electronic health records.

2018 · 2.4K citations

Computing, Biomedical Informatics, Health Informatics +16