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David A Selby

Showing results (1-10 of 11) with videos related to

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Scientific Reports|October 1, 2025
Describing variability of intensively collected longitudinal ordinal data with latent spline modelsMark Lunt, David A Selby, William G Dixon
JMIR Formative Research|May 14, 2024
Classifying Self-Reported Rheumatoid Arthritis Flares Using Daily Patient-Generated Data From a Smartphone App: Exploratory Analysis Applying Machine Learning ApproachesJulie Gandrup, David A Selby, William G Dixon
Nature Reviews. Genetics|March 4, 2025
Beyond the black box with biologically informed neural networksDavid A Selby, Maximilian Sprang, Jan Ewald, et al.
Rheumatology Advances in Practice|April 8, 2022
Using patient-reported data from a smartphone app to capture and characterize real-time patient-reported flares in rheumatoid arthritisJulie Gandrup, David A Selby, Sabine N van der Veer, et al.
Seminars in Arthritis and Rheumatism|July 9, 2022
Does body mass index mediate the relationship between socioeconomic position and incident osteoarthritis?Rozemarijn Witkam, James M Gwinnutt, David A Selby, et al.
Journal of Multimorbidity and Comorbidity|January 26, 2023
Examining the variability of multiple daily symptoms over time among individuals with multiple long-term conditions (MLTC-M/multimorbidity): An exploratory analysis of a longitudinal smartwatch feasibility studyKhalid Kazi, Syed Mustafa Ali, David A Selby, et al.
Digital Health|August 21, 2023
Feasibility and acceptability to use a smartphone-based manikin for daily longitudinal self-reporting of chronic painSyed Mustafa Ali, David A Selby, Darryl Bourke, et al.
Journal of Multimorbidity and Comorbidity|December 6, 2021
Engagement with consumer smartwatches for tracking symptoms of individuals living with multiple long-term conditions (multimorbidity): A longitudinal observational studySyed Mustafa Ali, David A Selby, Kazi Khalid, et al.
JMIR Mhealth and Uhealth|November 3, 2017
Recruitment and Ongoing Engagement in a UK Smartphone Study Examining the Association Between Weather and Pain: Cohort StudyKatie L Druce, John McBeth, Sabine N van der Veer, et al.
Computational and Structural Biotechnology Journal|July 15, 2026
MiracleNet: A Biologically Interpretable Machine Learning Model for Resected Non-small-cell Lung CancerRashika Jakhmola, David A Selby, Mert Cihan, et al.
Pageof 2

Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
Scientific Reports|October 1, 2025
Describing variability of intensively collected longitudinal ordinal data with latent spline modelsMark Lunt, David A Selby, William G Dixon
JMIR Formative Research|May 14, 2024
Classifying Self-Reported Rheumatoid Arthritis Flares Using Daily Patient-Generated Data From a Smartphone App: Exploratory Analysis Applying Machine Learning ApproachesJulie Gandrup, David A Selby, William G Dixon
Nature Reviews. Genetics|March 4, 2025
Beyond the black box with biologically informed neural networksDavid A Selby, Maximilian Sprang, Jan Ewald, et al.
Rheumatology Advances in Practice|April 8, 2022
Using patient-reported data from a smartphone app to capture and characterize real-time patient-reported flares in rheumatoid arthritisJulie Gandrup, David A Selby, Sabine N van der Veer, et al.
Seminars in Arthritis and Rheumatism|July 9, 2022
Does body mass index mediate the relationship between socioeconomic position and incident osteoarthritis?Rozemarijn Witkam, James M Gwinnutt, David A Selby, et al.
Journal of Multimorbidity and Comorbidity|January 26, 2023
Examining the variability of multiple daily symptoms over time among individuals with multiple long-term conditions (MLTC-M/multimorbidity): An exploratory analysis of a longitudinal smartwatch feasibility studyKhalid Kazi, Syed Mustafa Ali, David A Selby, et al.
Digital Health|August 21, 2023
Feasibility and acceptability to use a smartphone-based manikin for daily longitudinal self-reporting of chronic painSyed Mustafa Ali, David A Selby, Darryl Bourke, et al.
Journal of Multimorbidity and Comorbidity|December 6, 2021
Engagement with consumer smartwatches for tracking symptoms of individuals living with multiple long-term conditions (multimorbidity): A longitudinal observational studySyed Mustafa Ali, David A Selby, Kazi Khalid, et al.
JMIR Mhealth and Uhealth|November 3, 2017
Recruitment and Ongoing Engagement in a UK Smartphone Study Examining the Association Between Weather and Pain: Cohort StudyKatie L Druce, John McBeth, Sabine N van der Veer, et al.
Computational and Structural Biotechnology Journal|July 15, 2026
MiracleNet: A Biologically Interpretable Machine Learning Model for Resected Non-small-cell Lung CancerRashika Jakhmola, David A Selby, Mert Cihan, et al.
Pageof 2