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Salimur Choudhury

Showing results (1-10 of 8) with videos related to

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Scientific Reports|June 30, 2026
PM<sub>2.5</sub> performance analysis under varying imputation strategies for incomplete sensor dataRumaisa Chowdhury, Naveed Ejaz, Salimur Choudhury
BMC Medical Informatics and Decision Making|December 31, 2020
SURF: identifying and allocating resources during Out-of-Hospital Cardiac ArrestGaurav Rao, Salimur Choudhury, Pawan Lingras, et al.
Academic Emergency Medicine : Official Journal of the Society for Academic Emergency Medicine|July 1, 2026
Development and Validation of Machine Learning Models to Optimize Imaging and Referrals for Dizziness in the Emergency DepartmentDanielle Carole Roy, David Savage, Saswata Deb, et al.
BMC Medical Informatics and Decision Making|December 31, 2020
Utilizing deep learning and graph mining to identify drug use on Twitter dataJoseph Tassone, Peizhi Yan, Mackenzie Simpson, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
Assisting the Non-invasive Diagnosis of Liver Fibrosis Stages using Machine Learning MethodsMahzabeen Emu, Farjana Bintay Kamal, Salimur Choudhury, et al.
Plos One|January 8, 2025
Characterizing the services provided by family physicians in Ontario, Canada: A retrospective study using administrative billing dataDavid W Savage, Arunim Garg, Salimur Choudhury, et al.
Canadian Journal of Rural Medicine : the Official Journal of the Society of Rural Physicians of Canada = Journal Canadien De La Medecine Rurale : Le Journal Officiel De La Societe De Medecine Rurale Du Canada|April 3, 2023
Staffing rural emergency departments in Ontario: The who, what and whereTyler Randle, Arunim Garg, Vijay Mago, et al.
Canadian Family Physician Medecin De Famille Canadien|March 18, 2024
Artificial intelligence for family medicine research in Canada: current state and future directions: Report of the CFPC AI Working GroupJacqueline K Kueper, Mahzabeen Emu, Mark Banbury, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Scientific Reports|June 30, 2026
PM<sub>2.5</sub> performance analysis under varying imputation strategies for incomplete sensor dataRumaisa Chowdhury, Naveed Ejaz, Salimur Choudhury
BMC Medical Informatics and Decision Making|December 31, 2020
SURF: identifying and allocating resources during Out-of-Hospital Cardiac ArrestGaurav Rao, Salimur Choudhury, Pawan Lingras, et al.
Academic Emergency Medicine : Official Journal of the Society for Academic Emergency Medicine|July 1, 2026
Development and Validation of Machine Learning Models to Optimize Imaging and Referrals for Dizziness in the Emergency DepartmentDanielle Carole Roy, David Savage, Saswata Deb, et al.
BMC Medical Informatics and Decision Making|December 31, 2020
Utilizing deep learning and graph mining to identify drug use on Twitter dataJoseph Tassone, Peizhi Yan, Mackenzie Simpson, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
Assisting the Non-invasive Diagnosis of Liver Fibrosis Stages using Machine Learning MethodsMahzabeen Emu, Farjana Bintay Kamal, Salimur Choudhury, et al.
Plos One|January 8, 2025
Characterizing the services provided by family physicians in Ontario, Canada: A retrospective study using administrative billing dataDavid W Savage, Arunim Garg, Salimur Choudhury, et al.
Canadian Journal of Rural Medicine : the Official Journal of the Society of Rural Physicians of Canada = Journal Canadien De La Medecine Rurale : Le Journal Officiel De La Societe De Medecine Rurale Du Canada|April 3, 2023
Staffing rural emergency departments in Ontario: The who, what and whereTyler Randle, Arunim Garg, Vijay Mago, et al.
Canadian Family Physician Medecin De Famille Canadien|March 18, 2024
Artificial intelligence for family medicine research in Canada: current state and future directions: Report of the CFPC AI Working GroupJacqueline K Kueper, Mahzabeen Emu, Mark Banbury, et al.
Pageof 1