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
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    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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