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Quazi Abidur Rahman

Showing results (1-10 of 7) with videos related to

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JMIR Medical Informatics|November 21, 2019
Interpretability and Class Imbalance in Prediction Models for Pain Volatility in Manage My Pain App Users: Analysis Using Feature Selection and Majority Voting MethodsQuazi Abidur Rahman, Tahir Janmohamed, Hance Clarke, et al.
IEEE Journal of Biomedical and Health Informatics|October 23, 2025
Predicting Functional Improvement in Chronic Pain Using Machine Learning and Digital Health Data from the Manage My Pain AppJames Skoric, Tahir Janmohamed, Heather Lumsden-Ruegg, et al.
Proceedings. IEEE International Conference on Bioinformatics and Biomedicine|March 5, 2015
Identifying Hypertrophic Cardiomyopathy Patients by Classifying Individual Heartbeats from 12-lead ECG SignalsQuazi Abidur Rahman, Larisa G Tereshchenko, Matthew Kongkatong, et al.
IEEE Transactions on Nanobioscience|April 28, 2015
Utilizing ECG-Based Heartbeat Classification for Hypertrophic Cardiomyopathy IdentificationQuazi Abidur Rahman, Larisa G Tereshchenko, Matthew Kongkatong, et al.
JMIR Mhealth and Uhealth|July 14, 2017
Patterns of User Engagement With the Mobile App, Manage My Pain: Results of a Data Mining InvestigationQuazi Abidur Rahman, Tahir Janmohamed, Meysam Pirbaglou, et al.
Journal of Medical Internet Research|November 17, 2018
Defining and Predicting Pain Volatility in Users of the Manage My Pain App: Analysis Using Data Mining and Machine Learning MethodsQuazi Abidur Rahman, Tahir Janmohamed, Meysam Pirbaglou, et al.
JMIR Medical Informatics|March 28, 2025
Predicting Clinical Outcomes at the Toronto General Hospital Transitional Pain Service via the Manage My Pain App: Machine Learning ApproachJames Skoric, Anna M Lomanowska, Tahir Janmohamed, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
JMIR Medical Informatics|November 21, 2019
Interpretability and Class Imbalance in Prediction Models for Pain Volatility in Manage My Pain App Users: Analysis Using Feature Selection and Majority Voting MethodsQuazi Abidur Rahman, Tahir Janmohamed, Hance Clarke, et al.
IEEE Journal of Biomedical and Health Informatics|October 23, 2025
Predicting Functional Improvement in Chronic Pain Using Machine Learning and Digital Health Data from the Manage My Pain AppJames Skoric, Tahir Janmohamed, Heather Lumsden-Ruegg, et al.
Proceedings. IEEE International Conference on Bioinformatics and Biomedicine|March 5, 2015
Identifying Hypertrophic Cardiomyopathy Patients by Classifying Individual Heartbeats from 12-lead ECG SignalsQuazi Abidur Rahman, Larisa G Tereshchenko, Matthew Kongkatong, et al.
IEEE Transactions on Nanobioscience|April 28, 2015
Utilizing ECG-Based Heartbeat Classification for Hypertrophic Cardiomyopathy IdentificationQuazi Abidur Rahman, Larisa G Tereshchenko, Matthew Kongkatong, et al.
JMIR Mhealth and Uhealth|July 14, 2017
Patterns of User Engagement With the Mobile App, Manage My Pain: Results of a Data Mining InvestigationQuazi Abidur Rahman, Tahir Janmohamed, Meysam Pirbaglou, et al.
Journal of Medical Internet Research|November 17, 2018
Defining and Predicting Pain Volatility in Users of the Manage My Pain App: Analysis Using Data Mining and Machine Learning MethodsQuazi Abidur Rahman, Tahir Janmohamed, Meysam Pirbaglou, et al.
JMIR Medical Informatics|March 28, 2025
Predicting Clinical Outcomes at the Toronto General Hospital Transitional Pain Service via the Manage My Pain App: Machine Learning ApproachJames Skoric, Anna M Lomanowska, Tahir Janmohamed, et al.
Pageof 1