- Director, Cardiovascular Analytic Intelligence Initiative (CV-Ai2)
- Assistant Professor of Pediatrics
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Clinical Prediction Models; Integration and Evaluation of Data Technology in Medicine
The Cardiovascular Analytic Intelligence Initiative (CV-Ai2) is an initiative of the Helen B. Taussig Heart Centre. This research initiative develops infrastructure for the deployment of clinical prediction models; including developing the technology for real-time data extraction, processing and integration of predictive models into the clinical information technology infrastructure. Additionally, the CV-Ai2 team develops and tests new strategies and methods to create predictive models for clinical use and studies how predictive analytics get deployed and implemented in the healthcare system. Finally, through innovative clinical trials, CV-Ai2 will study how predictive analytics are used by physicians and whether they improve patient outcomes.
Data Analytics, Health Informatics, Clinical Decision Support
Hearn J, McCrindle BW, Mueller B, O'Shea S, Bernknopf B, Labelle M, Manlhiot C., Spatiotemporal clustering of cases of Kawasaki disease and associated coronary artery aneurysms in Canada. Sci Rep. 2018 Dec 5;8(1):17682. doi: 10.1038/s41598-018-35848-9
Manlhiot C, Rao V, Rubin B, Lee DS. Comparison of cardiac surgery mortality reports using administrative and clinical data sources: a prospective cohort study. CMAJ Open. 2018 Sep 4;6(3):E316-E321. doi: 10.9778/cmajo.20180072. Print 2018 Jul-Sep
Hearn J, Ross HJ, Mueller B, Fan CP, Crowdy E, Duhamel J, Walker M, Alba AC, Manlhiot C. Neural Networks for Prognostication of Patients With Heart Failure. Circ Heart Fail. 2018 Aug;11(8):e005193. doi: 10.1161/CIRCHEARTFAILURE.118.005193
Manlhiot C. Machine learning for predictive analytics in medicine: real opportunity or overblown hype? Eur Heart J Cardiovasc Imaging. 2018 Jul 1;19(7):727-728. doi: 10.1093/ehjci/jey041. No abstract available
Manlhiot C, Mueller B, O'Shea S, Majeed H, Bernknopf B, Labelle M, Westcott KV, Bai H, Chahal N, Birken CS, Yeung RSM, McCrindle BW. Environmental epidemiology of Kawasaki disease: Linking disease etiology, pathogenesis and global distribution. PLoS One. 2018 Feb 7;13(2):e0191087. doi: 10.1371/journal.pone.0191087. eCollection 2018