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.
|
PDF
Saatchi-UnderstandingInterpretingArtificialIntelligence(AM).pdf - Accepted Version Creative Commons Attribution Non-commercial. Download (570kB) | Preview |
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 |
Actions (login required)
View Item |
Downloads
Downloads per month over past year