User profiles for "author:Kathy Kornas"

Kathy Kornas

University of Toronto
Verified email at utoronto.ca
Cited by 992

[HTML][HTML] Exploring the function and effectiveness of knowledge brokers as facilitators of knowledge translation in health-related settings: a systematic review and …

CC Bornbaum, K Kornas, L Peirson, LC Rosella - Implementation Science, 2015 - Springer
Abstract Background Knowledge brokers (KBs) work collaboratively with key stakeholders to
facilitate the transfer and exchange of information in a given context. Currently, there is a …

Predicting population health with machine learning: a scoping review

JD Morgenstern, E Buajitti, M O'Neill, T Piggott… - BMJ open, 2020 - bmjopen.bmj.com
Objective To determine how machine learning has been applied to prediction applications in
population health contexts. Specifically, to describe which outcomes have been studied, the …

[HTML][HTML] The current application of the Royston-Parmar model for prognostic modeling in health research: a scoping review

R Ng, K Kornas, R Sutradhar, WP Wodchis… - … and prognostic research, 2018 - Springer
Background Prognostic models incorporating survival analysis predict the risk (ie,
probability) of experiencing a future event over a specific time period. In 2002, Royston and …

[HTML][HTML] Predicting adverse outcomes due to diabetes complications with machine learning using administrative health data

M Ravaut, H Sadeghi, KK Leung, M Volkovs… - NPJ digital …, 2021 - nature.com
Across jurisdictions, government and health insurance providers hold a large amount of data
from patient interactions with the healthcare system. We aimed to develop a machine …

Development and validation of a machine learning model using administrative health data to predict onset of type 2 diabetes

M Ravaut, V Harish, H Sadeghi, KK Leung… - JAMA network …, 2021 - jamanetwork.com
Importance Systems-level barriers to diabetes care could be improved with population
health planning tools that accurately discriminate between high-and low-risk groups to guide …

[HTML][HTML] A sub-national real-time epidemiological and vaccination database for the COVID-19 pandemic in Canada

I Berry, M O'Neill, SL Sturrock, JE Wright, K Acharya… - Scientific Data, 2021 - nature.com
The COVID-19 pandemic has demonstrated the need for real-time, open-access
epidemiological information to inform public health decision-making and outbreak control …

Accumulation of chronic conditions at the time of death increased in Ontario from 1994 to 2013

L Rosella, K Kornas, A Huang, C Bornbaum… - Health …, 2018 - healthaffairs.org
With falling mortality rates for several diseases, patients are living longer with complex
multimorbidities. We explored the burden of multimorbidity at the time of death, how it varies …

[HTML][HTML] Predicting high health care resource utilization in a single-payer public health care system: development and validation of the high resource user population …

LC Rosella, K Kornas, Z Yao, DG Manuel… - Medical care, 2018 - journals.lww.com
Background: A large proportion of health care spending is incurred by a small proportion of
the population. Population-based health planning tools that consider both the clinical and …

Socioeconomic gradients in all-cause, premature and avoidable mortality among immigrants and long-term residents using linked death records in Ontario, Canada

AM Khan, M Urquia, K Kornas, D Henry… - J Epidemiol …, 2017 - jech.bmj.com
Background Immigrants have been shown to possess a health advantage, yet are also more
likely to reside in arduous economic conditions. Little is known about if and how the …

Development and validation of the Chronic Disease Population Risk Tool (CDPoRT) to predict incidence of adult chronic disease

R Ng, R Sutradhar, K Kornas, WP Wodchis… - JAMA network …, 2020 - jamanetwork.com
Importance Predicting chronic disease incidence for the population provides a
comprehensive picture to health policy makers of their jurisdictions' overall future chronic …