Data science

Read our publications related to this topic.

Journal Articles

Journal Article

27/02/2026

The impact of two data-generating processes for competing risk data on the discrimination and calibration of two types of competing risk regression models

Austin PC, Putter H. Stat Med. 2026; 45(6-7):e70468.

Journal Article

30/01/2026

Development and validation of the Predicting Risk of Ischemic Stroke in Malignancy Estimation tool

Lun R, Leentjens J, Cerasuolo JO, Kirkwood D, Kapral MK, Carrier M, Siegal D, Sutradhar R. J Am Heart Assoc. 2026; e045631. Epub 2026 Jan 30.

Journal Article

21/01/2026

Quantitative assessment of neonatal health using dried blood spot metabolite profiles and deep learning

Chang AL, Reiss JD, Culos A, Becker M, Mayo JA, Marić I, De Francesco D, Phongpreecha T, Espinosa CA, Mataraso SJ, Berson E, Kim Y, Xue L, Xie F, Shu CH, Fallahzadeh R, Bidoki NH, Xenochristou M, Zhang M, Profit J, Lee HC, Gaudillière B, Angst MS, Hawken S, Wilson K, Stevenson DK, Shaw GM, Sylvester KG, Aghaeepour N. Sci Transl Med. 2026; 18(833): eadv4942. Epub 2026 Jan 21.

Journal Article

28/12/2025

Validity of the leading causes of death classification for premature mortality in inflammatory bowel disease: a population-based comparison with ICD-10 coding in Ontario, Canada

Postill G, Kuenzig ME, Olivera PA, Itanyi IU, Harish V, Tang F, Buajitti E, Rosella LC, Benchimol EI. Clin Epidemiol. 2025; 17:1163-1175.

Journal Article

15/12/2025

Identifying patients with obesity from health administrative data: diagnostic accuracy of surgical billing claims

Cusimano MC, Baxter NN, Moineddin R, Chiu M, Nguyen L, Aktar S, Liu N, Simpson AN, Johnson C, Ferguson SE. Can J Public Health. 2025 Dec 15 [Epub ahead of print].

Journal Article

08/12/2025

Validating recipients of pediatric solid organ transplant using administrative healthcare data

Aggarwal S, Naylor K, Parekh RS, Vasilevska-Ristovska J, Dixon SN, Kang Y, Chanchlani R. Pediatr Transplant. 2025; 29(8): e70245.

Journal Article

18/11/2025

Machine learning identifies clusters of multimorbidity among decedents with inflammatory bowel disease

Postill G, Harish V, Itanyi IU, Tang F, Buajitti E, Kuenzig ME, Rosella LC, Benchimol EI. Commun Med (Lond). 2025; 5(1):476.

Journal Article

04/11/2025

Validity of the International Classification of Diseases, 10th Revision codes for lithium toxicity in adult patients at hospital admission: a cohort study in Canada

Ahmadi F, Muanda FT, Ehiwario J, McArthur E, Jandoc R, Slater J, Vasudev A, Weir MA, Clark EG, Rej S, Herrmann N, Garg AX. BMJ Open. 2025; 15(11):e097196.

Journal Article

25/10/2025

Development and validation of EsoTIME, a prognostication tool for resected esophageal and gastroesophageal cancer

Harrison LD, Gupta V, Yuen M, Coburn NG, Pugliese M, Ekuma O, Derksen S, Compton C, Boyes R, Davis L, Decker K, Kidane B, Ringash J, Hsu AT, Mahar A; Population Registry of Esophageal and Stomach Tumours in Ontario (PRESTO) Group. Ann Surg Oncol. 2026; 33(2):955-966. Epub 2025 Oct 25.

Journal Article

25/09/2025

Development of machine learning systems to predict cancer-related symptoms with validation across a health care system

Yuan B, Kabir M, He JC, Li Y, Grant B, Narine S, Welch M, Podolsky S, Liu N, Ajaj R, Zhan LJ, Fawzy A, Xu J, Zhang Y, Yu V, Xu W, Krishnan RG, Gallinger S, Chan KKW, Krzyzanowska MK, Truong T, Liu G, Grant RC. JCO Clin Cancer Inform. 2025; 9:e2500073. Epub 2025 Sep 25.

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News Releases

News Release

01/05/2024

ICES secures renewed five-year funding commitment from the Ontario Ministry of Health

News Release

15/01/2024

Toronto Police data underreports cyclist and pedestrian injuries, study finds

News Release

25/05/2021

Researchers develop a machine learning model that accurately predicts diabetes using routinely collected and linked health data

News Release

04/02/2019

ICES Scientist develops new tools for estimating the effects of treatments, exposures and interventions on health outcomes

News Release

22/04/2009

Health research institute connects satellite sites through ORION network

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Research Programs and appointed ICES Scientists

ICES scientists are appointed to the ICES Research Program which best fits their interests and, as such, become members of a network of health services researchers from across Ontario.

ICES Scientists Research Programs

Data science

Journal Articles

The impact of two data-generating processes for competing risk data on the discrimination and calibration of two types of competing risk regression models

Development and validation of the Predicting Risk of Ischemic Stroke in Malignancy Estimation tool

Quantitative assessment of neonatal health using dried blood spot metabolite profiles and deep learning

Validity of the leading causes of death classification for premature mortality in inflammatory bowel disease: a population-based comparison with ICD-10 coding in Ontario, Canada

Identifying patients with obesity from health administrative data: diagnostic accuracy of surgical billing claims

Validating recipients of pediatric solid organ transplant using administrative healthcare data

Machine learning identifies clusters of multimorbidity among decedents with inflammatory bowel disease

Validity of the International Classification of Diseases, 10th Revision codes for lithium toxicity in adult patients at hospital admission: a cohort study in Canada

Development and validation of EsoTIME, a prognostication tool for resected esophageal and gastroesophageal cancer

Development of machine learning systems to predict cancer-related symptoms with validation across a health care system

News Releases

ICES secures renewed five-year funding commitment from the Ontario Ministry of Health

Toronto Police data underreports cyclist and pedestrian injuries, study finds

Researchers develop a machine learning model that accurately predicts diabetes using routinely collected and linked health data

New ICES study examines how the public feels about the use of their personal health data in research

Unhealthy habits cost Canadians six years of life

ICES launches Data and Analytic Services (ICES DAS)

ICES Scientist develops new tools for estimating the effects of treatments, exposures and interventions on health outcomes

Health research institute connects satellite sites through ORION network

Research Programs and appointed ICES Scientists