| Performance analysis of data mining classification techniques to predict diabetes S Perveen, M Shahbaz, A Guergachi, K Keshavjee Procedia Computer Science 82, 115-121, 2016 | 333 | 2016 |
| 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, B Bernstein, D Chan, ... Cmaj 181 (1-2), 37-44, 2009 | 271 | 2009 |
| Predictive models for diabetes mellitus using machine learning techniques H Lai, H Huang, K Keshavjee, A Guergachi, X Gao BMC endocrine disorders 19, 1-9, 2019 | 225 | 2019 |
| Patients' consent preferences for research uses of information in electronic medical records: interview and survey data DJ Willison, K Keshavjee, K Nair, C Goldsmith, AM Holbrook Bmj 326 (7385), 373, 2003 | 168 | 2003 |
| Best practices in EMR implementation: a systematic review. K Keshavjee, J Bosomworth, J Copen, J Lai, B Küçükyazici, R Lilani, ... AMIA, 2006 | 162 | 2006 |
| Building a pan-Canadian primary care sentinel surveillance network: initial development and moving forward R Birtwhistle, K Keshavjee, A Lambert-Lanning, M Godwin, M Greiver, ... The Journal of the American Board of Family Medicine 22 (4), 412-422, 2009 | 161 | 2009 |
| Making sense of health information system success in Canada F Lau, M Price, K Keshavjee Healthc Q 14 (1), 39-46, 2011 | 139 | 2011 |
| 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 8 (1), 2112, 2018 | 94 | 2018 |
| Metabolic syndrome and development of diabetes mellitus: predictive modeling based on machine learning techniques S Perveen, M Shahbaz, K Keshavjee, A Guergachi IEEE Access 7, 1365-1375, 2018 | 80 | 2018 |
| 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 informatics 83 (4), 264-272, 2014 | 80 | 2014 |
| Measuring the success of electronic medical record implementation using electronic and survey data. K Keshavjee, S Troyan, AM Holbrook, D VanderMolen, ... Proceedings of the AMIA Symposium, 309, 2001 | 73 | 2001 |
| Canadian Cardiovascular Harmonized National Guidelines Endeavour (C-CHANGE) guideline for the prevention and management of cardiovascular disease in primary care: 2018 update SW Tobe, JA Stone, T Anderson, S Bacon, AYY Cheng, ... Cmaj 190 (40), E1192-E1206, 2018 | 61 | 2018 |
| Handling irregularly sampled longitudinal data and prognostic modeling of diabetes using machine learning technique S Perveen, M Shahbaz, T Saba, K Keshavjee, A Rehman, A Guergachi IEEE Access 8, 21875-21885, 2020 | 59 | 2020 |
| Patients' consent preferences regarding the use of their health information for research purposes: a qualitative study K Nair, D Willison, A Holbrook, K Keshavjee Journal of Health Services Research & Policy 9 (1), 22-27, 2004 | 57 | 2004 |
| Applying methodology to electronic medical record selection A Holbrook, K Keshavjee, S Troyan, M Pray, PT Ford, ... International journal of medical informatics 71 (1), 43-50, 2003 | 53 | 2003 |
| Shared electronic vascular risk decision support in primary care: Computerization of Medical Practices for the Enhancement of Therapeutic Effectiveness (COMPETE III) randomized … A Holbrook, E Pullenayegum, L Thabane, S Troyan, G Foster, ... Archives of internal medicine 171 (19), 1736-1744, 2011 | 51 | 2011 |
| Modeling machine learning requirements from three perspectives: a case report from the healthcare domain S Nalchigar, E Yu, K Keshavjee Requirements Engineering 26, 237-254, 2021 | 45 | 2021 |
| Prognostic modeling and prevention of diabetes using machine learning technique S Perveen, M Shahbaz, K Keshavjee, A Guergachi Scientific reports 9 (1), 13805, 2019 | 42 | 2019 |
| Why is information governance important for electronic healthcare systems? A Canadian experience L Dong, K Keshavjee Journal of Advances in Humanities and Social Sciences 2 (5), 250-260, 2016 | 35 | 2016 |
| Using a data entry clerk to improve data quality in primary care electronic medical records: a pilot study KKMDMBAC CPHIMS Informatics in primary care 19, 241-50, 2011 | 35 | 2011 |
Anne Holbrookmcmaster universityVerified email at mcmaster.ca
