User profiles for Karim Keshavjee
Karim KeshavjeeUniversity 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. …
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
Background: Diabetes mellitus is a complex disease with serious complications. Electronic
decision support, providing information that is shared and discussed by both patient and …
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 …
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 …
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 …
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
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 …
electronic medical records for research. Design: Interviews and a structured survey of …
[PDF][PDF] Making sense of health information system success in Canada
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 …
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
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 …
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
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 …
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 …
and/or technologies must be found to help the chronically ill to take more responsibility to …