Hypoplastic left heart syndrome is heritable RB Hinton, LJ Martin, ME Tabangin, ML Mazwi, LH Cripe, DW Benson Journal of the American College of Cardiology 50 (16), 1590-1595, 2007 | 283 | 2007 |
Ethical limitations of algorithmic fairness solutions in health care machine learning MD McCradden, S Joshi, M Mazwi, JA Anderson The Lancet Digital Health 2 (5), e221-e223, 2020 | 180 | 2020 |
Patient safety and quality improvement: Ethical principles for a regulatory approach to bias in healthcare machine learning MD McCradden, S Joshi, JA Anderson, M Mazwi, A Goldenberg, ... Journal of the American Medical Informatics Association 27 (12), 2024-2027, 2020 | 87 | 2020 |
Towards understanding ECG rhythm classification using convolutional neural networks and attention mappings SD Goodfellow, A Goodwin, R Greer, PC Laussen, M Mazwi, D Eytan Machine learning for healthcare conference, 83-101, 2018 | 72 | 2018 |
The role of palliative care in critical congenital heart disease ML Mazwi, N Henner, R Kirsch Seminars in Perinatology 41 (2), 128-132, 2017 | 42 | 2017 |
Unplanned reinterventions are associated with postoperative mortality in neonates with critical congenital heart disease ML Mazwi, DW Brown, AC Marshall, FA Pigula, PC Laussen, A Polito, ... The Journal of thoracic and cardiovascular surgery 145 (3), 671-677, 2013 | 42 | 2013 |
Evaluating and reducing cognitive load should be a priority for machine learning in healthcare DE Ehrmann, SN Gallant, S Nagaraj, SD Goodfellow, D Eytan, ... Nature Medicine 28 (7), 1331-1333, 2022 | 36 | 2022 |
Prediction of cardiac arrest from physiological signals in the pediatric ICU S Tonekaboni, M Mazwi, P Laussen, D Eytan, R Greer, SD Goodfellow, ... Machine Learning for Healthcare Conference, 534-550, 2018 | 33 | 2018 |
A practical approach to storage and retrieval of high-frequency physiological signals AJ Goodwin, D Eytan, RW Greer, M Mazwi, A Thommandram, ... Physiological measurement 41 (3), 035008, 2020 | 31 | 2020 |
Risk factors for cardiac arrest or mechanical circulatory support in children with fulminant myocarditis JR Casadonte, ML Mazwi, KE Gambetta, HL Palac, ME McBride, ... Pediatric cardiology 38, 128-134, 2017 | 31 | 2017 |
Atrial fibrillation classification using step-by-step machine learning SD Goodfellow, A Goodwin, R Greer, PC Laussen, M Mazwi, D Eytan Biomedical Physics & Engineering Express 4 (4), 045005, 2018 | 25 | 2018 |
Associations between unplanned cardiac reinterventions and outcomes after pediatric cardiac operations JM Costello, MC Mongé, KD Hill, S Kim, SK Pasquali, BA Yerokun, ... The Annals of Thoracic Surgery 105 (4), 1255-1263, 2018 | 24 | 2018 |
Making machine learning matter to clinicians: model actionability in medical decision-making DE Ehrmann, S Joshi, SD Goodfellow, ML Mazwi, D Eytan NPJ Digital Medicine 6 (1), 7, 2023 | 21 | 2023 |
Shunt lesions part I: patent ductus arteriosus, atrial septal defect, ventricular septal defect, and atrioventricular septal defect CL Backer, O Eltayeb, MC Mongé, ML Mazwi, JM Costello Pediatric Critical Care Medicine 17 (8), S302-S309, 2016 | 21 | 2016 |
Distributions and behavior of vital signs in critically ill children by admission diagnosis D Eytan, AJ Goodwin, R Greer, AM Guerguerian, M Mazwi, PC Laussen Pediatric Critical Care Medicine 19 (2), 115-124, 2018 | 20 | 2018 |
Care of the critically ill neonate with hypoxemic respiratory failure and acute pulmonary hypertension: framework for practice based on consensus opinion of neonatal … A Jain, RE Giesinger, S Dakshinamurti, Y ElSayed, RP Jankov, DE Weisz, ... Journal of Perinatology 42 (1), 3-13, 2022 | 14 | 2022 |
Implementing AI in healthcare E Drysdale, E Dolatabadi, C Chivers, V Liu, S Saria, M Sendak, J Wiens, ... Toronto: Vector-SickKids Health AI Deployment Symposium, 2019 | 14 | 2019 |
Temporal variability in the sampling of vital sign data limits the accuracy of patient state estimation D Eytan, A Jegatheeswaran, ML Mazwi, A Assadi, AJ Goodwin, RW Greer, ... Pediatric Critical Care Medicine 20 (7), e333-e341, 2019 | 14 | 2019 |
Classification of atrial fibrillation using multidisciplinary features and gradient boosting SD Goodfellow, A Goodwin, R Greer, PC Laussen, M Mazwi, D Eytan 2017 Computing in Cardiology (CinC), 1-4, 2017 | 14 | 2017 |
What's fair is… fair? Presenting JustEFAB, an ethical framework for operationalizing medical ethics and social justice in the integration of clinical machine learning: JustEFAB M Mccradden, O Odusi, S Joshi, I Akrout, K Ndlovu, B Glocker, G Maicas, ... Proceedings of the 2023 ACM Conference on Fairness, Accountability, and …, 2023 | 11 | 2023 |