Mr Amir Kamel Rahimi
Specialist AI Software Engineer
Centre for Health Services Research
Journal Articles
Kamel Rahimi, Amir, Pienaar, Oliver, Ghadimi, Moji, Canfell, Oliver J., Pole, Jason D., Shrapnel, Sally, van der Vegt, Anton H. and Sullivan, Clair (2024). Implementing AI in Hospitals to Achieve a Learning Health System: Systematic Review of Current Enablers and Barriers. Journal of Medical Internet Research, 26 e49655, 1-29. doi: 10.2196/49655
Kamel Rahimi, Amir, Ghadimi, Moji, van der Vegt, Anton H., Canfell, Oliver J., Pole, Jason D., Sullivan, Clair and Shrapnel, Sally (2023). Machine learning clinical prediction models for acute kidney injury: the impact of baseline creatinine on prediction efficacy. BMC Medical Informatics and Decision Making, 23 (1) 207, 1-14. doi: 10.1186/s12911-023-02306-0
Kamel Rahimi, Amir, Canfell, Oliver J., Chan, Wilkin, Sly, Benjamin, Pole, Jason D., Sullivan, Clair and Shrapnel, Sally (2022). Machine learning models for diabetes management in acute care using electronic medical records: a systematic review. International Journal of Medical Informatics, 162 104758, 1-13. doi: 10.1016/j.ijmedinf.2022.104758
Lim, Han Chang, Austin, Jodie A., van der Vegt, Anton H., Rahimi, Amir Kamel, Canfell, Oliver J., Mifsud, Jayden, Pole, Jason D., Barras, Michael A., Hodgson, Tobias, Shrapnel, Sally and Sullivan, Clair M. (2022). Toward a learning health care system: a systematic review and evidence-based conceptual framework for implementation of clinical analytics in a digital hospital. Applied Clinical Informatics, 13 (02), 339-354. doi: 10.1055/s-0042-1743243
Conference Paper
Wainstein, Marina, Edward, Eleanor, Spyrison, Nicholas, Rahimi, Amir Kamel, Ghadimi, Moji, Johnson, David and Shrapnel, Sally (2024). Validation Of The Extended Kdigo Definition To Diagnose Acute Kidney Injury In A General Hospital Population Using The Mimic-IV Dataset. ISN World Congress of Nephrology (WCN) 2024, Buenos Aires, Argentina, 13-16 April 2024. New York, NY United States: Elsevier. doi: 10.1016/j.ekir.2024.02.537