Erik Drysdale
Erik Drysdale
Machine Learning Specialist, The Hospital for Sick Children
Verified email at - Homepage
Cited by
Cited by
A research ethics framework for the clinical translation of healthcare machine learning
MD McCradden, JA Anderson, E A. Stephenson, E Drysdale, L Erdman, ...
The American Journal of Bioethics 22 (5), 8-22, 2022
Mammary molecular portraits reveal lineage-specific features and progenitor cell vulnerabilities
AE Casey, A Sinha, R Singhania, J Livingstone, P Waterhouse, ...
Journal of Cell Biology 217 (8), 2951-2974, 2018
Accurate classification of pediatric colonic inflammatory bowel disease subtype using a random forest machine learning classifier
J Dhaliwal, L Erdman, E Drysdale, F Rinawi, J Muir, TD Walters, I Siddiqui, ...
Journal of Pediatric Gastroenterology and Nutrition 72 (2), 262-269, 2021
Automatically disambiguating medical acronyms with ontology-aware deep learning
DSMB Marta Skreta, Aryan Arbabi, Jixuan Wang, Erik Drysdale, Jacob Kelly
Nature Communications 12, 2021
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
Assessment of machine learning–based medical directives to expedite care in pediatric emergency medicine
D Singh, S Nagaraj, P Mashouri, E Drysdale, J Fischer, A Goldenberg, ...
JAMA Network Open 5 (3), e222599-e222599, 2022
Dear watch, should I get a COVID-19 test? Designing deployable machine learning for wearables
B Nestor, J Hunter, R Kainkaryam, E Drysdale, JB Inglis, A Shapiro, ...
MedRXiv, 2021.05. 11.21257052, 2021
A population-based study of the treatment effect of first-line ipilimumab for metastatic or unresectable melanoma
E Drysdale, Y Peng, P Nguyen, T Baetz, TP Hanna
Melanoma Research 29 (6), 635-642, 2019
SurvSet: An open-source time-to-event dataset repository
E Drysdale
arXiv preprint arXiv:2203.03094, 2022
Personalized application of machine learning algorithms to identify pediatric patients at risk for recurrent ureteropelvic junction obstruction after dismembered pyeloplasty
E Drysdale, A Khondker, JK Kim, JCC Kwong, L Erdman, M Chua, ...
World Journal of Urology, 1-7, 2022
The telomere length landscape of prostate cancer
J Livingstone, YJ Shiah, TN Yamaguchi, LE Heisler, V Huang, R Lesurf, ...
Nature communications 12 (1), 6893, 2021
The origins and consequences of localized and global somatic hypermutation
F Yousif, SD Prokopec, RX Sun, F Fan, CM Lalansingh, DH Park, L Szyca, ...
Biorxiv, 287839, 2018
Machine learning COVID-19 detection from wearables
B Nestor, J Hunter, R Kainkaryam, E Drysdale, JB Inglis, A Shapiro, ...
The Lancet Digital Health 5 (4), e182-e184, 2023
From Clinic to Computer and Back Again: Practical Considerations When Designing and Implementing Machine Learning Solutions for Pediatrics
DS Sujay Nagaraj, Vinyas Harish, Liam G. McCoy, Felipe Morgado MSc, Ian ...
Current Treatment Options in Pediatrics, 2020
Forecasting emergency department capacity constraints for COVID isolation beds
E Drysdale, D Singh, A Goldenberg
arXiv preprint arXiv:2011.06058, 2020
The false positive control lasso
E Drysdale, Y Peng, TP Hanna, P Nguyen, A Goldenberg
arXiv preprint arXiv:1903.12584, 2019
Trends and relevance in the bladder and bowel dysfunction literature: PlumX metrics contrasted with fragility indicators
M Rickard, DT Keefe, E Drysdale, L Erdman, JH Hannick, K Milford, ...
Journal of Pediatric Urology 16 (4), 477. e1-477. e7, 2020
Dear Watch, Should I get a COVID Test? Designing deployable machine learning for wearables
A Goldenberg, B Nestor, J Hunter, R Kainkaryam, E Drysdale, J Inglis, ...
Achieving clinical automation in emergency medicine with machine learning medical directives
D Singh, S Nagaraj, P Mashouri, E Drysdale, J Fischer, A Goldenberg, ...
Available at SSRN 3857668, 2021
Using Deep Learning to Automate Eosinophil Counting in Pediatric Ulcerative Colitis Histopathological Images
J Reigle, O Lopez Nunez, E Drysdale, D Abuquteish, X Liu, J Putra, ...
medRxiv, 2024.04. 03.24305251, 2024
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