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

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.

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Official URL: https://emj.bmj.com/content/early/2022/03/02/emerm...
Link to published version:: https://doi.org/10.1136/emermed-2021-212068
Item Type: Article
Uncontrolled Keywords: methods; statistics; methods; statistics; 1103 Clinical Sciences; 1110 Nursing; 1117 Public Health and Health Services; Emergency & Critical Care Medicine
Identification Number: https://doi.org/10.1136/emermed-2021-212068
SWORD Depositor: Symplectic Elements
Depositing User: Symplectic Elements
Date Deposited: 05 Apr 2022 15:53
Last Modified: 09 May 2022 11:16
URI: https://shura.shu.ac.uk/id/eprint/30049

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