User profiles for Karim Keshavjee

Karim Keshavjee

University of Toronto
Verified email at infoclin.ca
Cited by 3005

Performance analysis of data mining classification techniques to predict diabetes

…, M Shahbaz, A Guergachi, K Keshavjee - Procedia Computer …, 2016 - Elsevier
Diabetes Mellitus is one of the major health challenges all over the world. The prevalence of
diabetes is increasing at a fast pace, deteriorating human, economic and social fabric. …

Individualized electronic decision support and reminders to improve diabetes care in the community: COMPETE II randomized trial

A Holbrook, L Thabane, K Keshavjee, L Dolovich… - Cmaj, 2009 - Can Med Assoc
Background: Diabetes mellitus is a complex disease with serious complications. Electronic
decision support, providing information that is shared and discussed by both patient and …

[HTML][HTML] Predictive models for diabetes mellitus using machine learning techniques

H Lai, H Huang, K Keshavjee, A Guergachi… - BMC endocrine …, 2019 - Springer
Background Diabetes Mellitus is an increasingly prevalent chronic disease characterized by
the body’s inability to metabolize glucose. The objective of this study was to build an …

Building a pan-Canadian primary care sentinel surveillance network: initial development and moving forward

R Birtwhistle, K Keshavjee… - The Journal of the …, 2009 - Am Board Family Med
The development of a pan-Canadian network of primary care research networks for studying
issues in primary care has been the vision of Canadian primary care researchers for many …

[PDF][PDF] Best practices in EMR implementation: a systematic review.

K Keshavjee, J Bosomworth, J Copen, J Lai… - AMIA, 2006 - Citeseer
Computerization of medical practice is an on-going reality. Typically, most of the investment
of implementation is borne up-front both in terms of finances, and in time and energy. With …

Patients' consent preferences for research uses of information in electronic medical records: interview and survey data

DJ Willison, K Keshavjee, K Nair, C Goldsmith… - Bmj, 2003 - bmj.com
Objectives: To assess patients9 preferred method of consent for the use of information from
electronic medical records for research. Design: Interviews and a structured survey of …

[PDF][PDF] Making sense of health information system success in Canada

F Lau, M Price, K Keshavjee - Healthc Q, 2011 - academia.edu
Increasingly, governments in countries such as England, Australia, Canada and the United
States have made the adoption of health information systems (HISs) an integral part of their …

[HTML][HTML] A systematic machine learning based approach for the diagnosis of non-alcoholic fatty liver disease risk and progression

S Perveen, M Shahbaz, K Keshavjee, A Guergachi - Scientific reports, 2018 - nature.com
Prevention and diagnosis of NAFLD is an ongoing area of interest in the healthcare
community. Screening is complicated by the fact that the accuracy of noninvasive testing lacks …

Metabolic syndrome and development of diabetes mellitus: predictive modeling based on machine learning techniques

S Perveen, M Shahbaz, K Keshavjee… - IEEE Access, 2018 - ieeexplore.ieee.org
The objective of this inductive research was to investigate: 1) the relationship between
diabetes mellitus and individual risk factors of metabolic syndrome (MetS), in a non-conservative …

Online self-management interventions for chronically ill patients: cognitive impairment and technology issues

N Archer, K Keshavjee, C Demers, R Lee - International journal of medical …, 2014 - Elsevier
Introduction As the fraction of the population with chronic diseases continues to grow, methods
and/or technologies must be found to help the chronically ill to take more responsibility to …