Understanding and interpreting artificial intelligence, machine learning and deep learning in Emergency Medicine

Tools

RAMLAKHAN, Shammi, SAATCHI, Reza, SABIR, Lisa, SINGH, Yardesh, HUGHES, Ruby, SHOBAYO, Olamilekan and VENTOUR, Dale (2022). Understanding and interpreting artificial intelligence, machine learning and deep learning in Emergency Medicine. Emergency Medicine Journal. [Article]

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Documents

30049:603182

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30049:603182

[thumbnail of Saatchi-UnderstandingInterpretingArtificialIntelligence(AM).pdf]

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Saatchi-UnderstandingInterpretingArtificialIntelligence(AM).pdf - Accepted Version
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More Information

Official URL:

https://emj.bmj.com/content/early/2022/03/02/emerm...

Uncontrolled Keywords:

methods; statistics; methods; statistics; 1103 Clinical Sciences; 1110 Nursing; 1117 Public Health and Health Services; Emergency & Critical Care Medicine

Event Location:

England

Identifiers

Identification Number:

10.1136/emermed-2021-212068

ORCID: