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

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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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30049:603182
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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 for Reza Saatchi: ORCID iD orcid.org/0000-0002-2266-0187
ORCID for Olamilekan Shobayo: ORCID iD orcid.org/0000-0001-5889-7082

Library

Item Type:
Article
SWORD Depositor:
Symplectic Elements
Depositing User:
Symplectic Elements
Date record made live:
05 Apr 2022 15:53
Last Modified:
08 Jan 2025 00:00
Date of first compliant deposit:
5 April 2022
Date of first compliant Open Access:
21 April 2022
Version of first compliant deposit:
Version of Record
URI:
https://shura.shu.ac.uk/id/eprint/30049
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