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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 Methods
Quazi 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 App
James 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 Signals
Quazi Abidur Rahman, Larisa G Tereshchenko, Matthew Kongkatong, et al.
IEEE Transactions on Nanobioscience
|
April 28, 2015
Utilizing ECG-Based Heartbeat Classification for Hypertrophic Cardiomyopathy Identification
Quazi 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 Investigation
Quazi 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 Methods
Quazi 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 Approach
James Skoric, Anna M Lomanowska, Tahir Janmohamed, et al.
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of 1
Search research articles
Search
Showing results (1-10 of 7) with videos related to
Sort By:
Page
of 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 Methods
Quazi 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 App
James 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 Signals
Quazi Abidur Rahman, Larisa G Tereshchenko, Matthew Kongkatong, et al.
IEEE Transactions on Nanobioscience
|
April 28, 2015
Utilizing ECG-Based Heartbeat Classification for Hypertrophic Cardiomyopathy Identification
Quazi 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 Investigation
Quazi 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 Methods
Quazi 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 Approach
James Skoric, Anna M Lomanowska, Tahir Janmohamed, et al.
Page
of 1