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2025 Journal Article Machine-learning versus traditional approaches to predict all-cause mortality for acute coronary syndrome: a systematic review and meta-analysisGupta, Aashray K., Mustafiz, Cecil, Mutahar, Daud, Zaka, Ammar, Parvez, Razeen, Mridha, Naim, Stretton, Brandon, Kovoor, Joshua G., Bacchi, Stephen, Ramponi, Fabio, Chan, Justin C.Y., Zaman, Sarah, Chow, Clara, Kovoor, Pramesh, Bennetts, Jayme S. and Maddern, Guy J. (2025). Machine-learning versus traditional approaches to predict all-cause mortality for acute coronary syndrome: a systematic review and meta-analysis. Canadian Journal of Cardiology, 41 (8), 1564-1583. doi: 10.1016/j.cjca.2025.01.037 |
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2025 Journal Article Machine-learning versus traditional methods for prediction of all-cause mortality after transcatheter aortic valve implantation: a systematic review and meta-analysisZaka, Ammar, Mustafiz, Cecil, Mutahar, Daud, Sinhal, Shreyans, Gorcilov, James, Muston, Benjamin, Evans, Shaun, Gupta, Aashray, Stretton, Brandon, Kovoor, Joshua, Mridha, Naim, Sivagangabalan, Gopal, Thiagalingam, Aravinda, Ramponi, Fabio, Chan, Justin, Bennetts, Jayme, Murdoch, Dale J., Zaman, Sarah, Chow, Clara K., Jayasinghe, Rohan, Kovoor, Pramesh and Bacchi, Stephen (2025). Machine-learning versus traditional methods for prediction of all-cause mortality after transcatheter aortic valve implantation: a systematic review and meta-analysis. Open Heart, 12 (1) e002779, 1-13. doi: 10.1136/openhrt-2024-002779 |
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2024 Conference Publication Machine Learning for Prediction of All-Cause Mortality in Acute Coronary SyndromeGupta, Aashray, Zaka, Ammar, Mustafiz, Cecil, Mutahar, Daud, Parvez, Razeen, Stretton, Brandon, Kovoor, Joshua, Mridha, Naim, Ramponi, Fabio, Chan, Justin, Gould, Paul, Sivagangabalan, Gopal, Zaman, Sarah, Thiagalingam, Aravinda, Chow, Clara, Kovoor, Pramesh, Bacchi, Stephen, Bennetts, Jayme and Maddern, Guy (2024). Machine Learning for Prediction of All-Cause Mortality in Acute Coronary Syndrome. American Heart Association's 2024 Scientific Sessions and the American Heart Association's 2024 Resuscitation Science Symposium, Chicago, IL United States, 16–18 November 2024. Philadelphia, PA United States: Lippincott Williams & Wilkins. doi: 10.1161/circ.150.suppl_1.4138355 |
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2024 Conference Publication Artificial intelligence for the prediction of all-cause mortality and readmission in heart failure: a meta-analysis of twenty studiesGupta, Aashray, Zaka, Ammar, Mutahar, Daud, Mustafiz, Cecil, Gorcilov, James, Abtahi, Johayer, Kamalanathan, Harish, Tan, Sheryn, Hains, Lewis, Sharma, Prakriti, Sharma, Srishti, Ragunath, Priyyanca, Kovoor, Joshua, Stretton, Brandon, Mridha, Naim and Bacchi, Stephen (2024). Artificial intelligence for the prediction of all-cause mortality and readmission in heart failure: a meta-analysis of twenty studies. American Heart Association's 2024 Scientific Sessions and the American Heart Association's 2024 Resuscitation Science Symposium, Chicago, IL United States, 16–18 November 2024. Philadelphia, PA United States: Lippincott Williams & Wilkins. doi: 10.1161/circ.150.suppl_1.4146070 |
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2024 Conference Publication Machine learning for prediction of all-cause mortality in acute coronary syndromeZaka, A., Gupta, A., Mustafiz, C., Mutahar, D., Parvez, R., Stretton, B., Kovoor, J., Mridha, N. and Bacchi, S. (2024). Machine learning for prediction of all-cause mortality in acute coronary syndrome. ESC Congress 2024, London, United Kingdom, 30 August – 2 September 2024. Oxford, United Kingdom: Oxford University Press. doi: 10.1093/eurheartj/ehae666.3448 |
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2024 Conference Publication Artificial Intelligence for the Prediction of All-Cause Mortality and Readmission in Heart Failure: A Meta-Analysis of 558,233 PatientsZaka, A., Mutahar, D., Mustafiz, C., Gorcilov, J., Abtahi, J., Kamalanathan, H., Tan, S., Hains, L., Sharma, P., Sharma, S., Ragunath, P., Gupta, A., Stretton, B., Kovoor, J., Mridha, N. and Bacchi, S. (2024). Artificial Intelligence for the Prediction of All-Cause Mortality and Readmission in Heart Failure: A Meta-Analysis of 558,233 Patients. 72nd Annual Scientific Meeting of the Cardiac Society of Australia and New Zealand, Perth, WA Australia, 1-4 August 2024. Chatswood, NSW Australia: Elsevier. doi: 10.1016/j.hlc.2024.06.545 |
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2024 Conference Publication Machine Learning for Prediction of All-Cause Mortality in Acute Coronary SyndromeZaka, A., Gupta, A.K., Mustafiz, C., Mutahar, D., Parvez, R., Stretton, B., Kovoor, J.G., Mridha, N. and Bacchi, S. (2024). Machine Learning for Prediction of All-Cause Mortality in Acute Coronary Syndrome. 72nd Annual Scientific Meeting of the Cardiac Society of Australia and New Zealand, Perth, WA Australia, 1-4 August 2024. Chatswood, NSW Australia: Elsevier. doi: 10.1016/j.hlc.2024.06.566 |
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2024 Conference Publication Improving Risk Prediction After Transcatheter Aortic Valve Implantation: A Comparison of Machine Learning With Traditional MethodsZaka, A., Mutahar, D., Mustafiz, C., Sinhal, S., Gorcilov, J., Evans, S., Gupta, A., Stretton, B., Kovoor, J., Mridha, N., Sivagangabalan, G., Zaman, S., Chow, C., Thiagalingam, A., Kovoor, P. and Bacchi, S. (2024). Improving Risk Prediction After Transcatheter Aortic Valve Implantation: A Comparison of Machine Learning With Traditional Methods. 72nd Annual Scientific Meeting of the Cardiac Society of Australia and New Zealand, Perth, WA Australia, 1-4 August 2024. Chatswood, NSW Australia: Elsevier. doi: 10.1016/j.hlc.2024.06.561 |
