My research applies artificial intelligence to prediction and pattern recognition in healthcare, with heterogeneous data consisting of numeric, categorical, image or waveform data. I have a B.A.Sc. in Systems Design Engineering and an M.Math in Computer Science from the University of Waterloo. I have given lectures at UW and at U of T’s School of Continuing Studies; and I helped develop and teach a worldwide course at IBM.
I have 18 years of IT leadership experience in industry. Most recently I led IT strategy work for the University Health Network’s Multi Organ Transplant group in collaboration with UW; and I was the Director of Privacy & Security at Canada Health Infoway with oversight on federally funded Electronic Health Record projects in each province. I have my own company, Bedrock Security Services Inc, whose clients included Canada Health Infoway, Telus, IBM and the Center for Internet Security; and I have also worked at Sobeys, Scotiabank, IBM and other organizations.
My non-academic publications include:
Sasha Bojicic, David Pare, Robert Caron, André Carrington, Lloyd MacKenzie, et al. Transport Layer Interoperability Specification v3.1, Canadian Draft for Use, Canada Health Infoway, Toronto, Canada, July 2011.
Ingrid J. Petersen, André Carrington, et al. Wireless Security benchmark v1.0, Center for Internet Security, U.S.A., 2005.
Image Segmentation/Classification
Stochastic Models
Carrington A.M., Manuel D.G., Fieguth P.W., Ramsay T., Osmani V., Wernly B., Bennett C., Hawken S., Magwood O., Sheikh Y., Mcinnes M., and Holzinger A, "Deep ROC Analysis and AUC as Balanced Average Accuracy, for Improved Classifier Selection, Audit and Explanation", IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 45, pp. 329-341, 2023. Get it here. Carrington A.M., Fieguth P.W., Qazi H., Holzinger A., Chen H.H., Mayr F., and Manuel D.G, "A new concordant partial AUC and partial c statistic for imbalanced data in the evaluation of machine learning algorithms", BMC Medical Informatics and Decision Making, vol. 20, 2020. Get it here.
Conference PapersCarrington A.M., Fieguth P.W., Mayr F., James N.D., Holzinger A., Pickering J.W., and Aviv R.I, "The ROC Diagonal is Not Layperson’s Chance: A New Baseline Shows the Useful Area", Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2022. Get it here. Carrington A., Fieguth P., and Chen H, "Measures of model interpretability for model selection", Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2018. Get it here. Carrington A.M., Fieguth P.W., and Chen H.H, "A new Mercer sigmoid kernel for clinical data classification", 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014, 2015. Get it here.