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Chris J Sidey-Gibbons

Showing results (1-10 of 18) with videos related to

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BMC Medical Research Methodology|August 1, 2021
Machine learning in medicine: a practical introduction to natural language processingConrad J Harrison, Chris J Sidey-Gibbons
BMC Medical Research Methodology|March 21, 2019
Machine learning in medicine: a practical introductionJenni A M Sidey-Gibbons, Chris J Sidey-Gibbons
Quality of Life Research : an International Journal of Quality of Life Aspects of Treatment, Care and Rehabilitation|September 30, 2021
Efficient and precise Ultra-QuickDASH scale measuring lymphedema impact developed using computerized adaptive testingCai Xu, Mark V Schaverien, Joani M Christensen, et al.
Plos One|February 14, 2019
Assessing mental health service user and carer involvement in physical health care planning: The development and validation of a new patient-reported experience measureChris J Sidey-Gibbons, Helen Brooks, Judith Gellatly, et al.
Scientific Reports|December 8, 2022
Predicting 180-day mortality for women with ovarian cancer using machine learning and patient-reported outcome dataChris J Sidey-Gibbons, Charlotte Sun, Amy Schneider, et al.
Plastic and Reconstructive Surgery. Global Open|February 13, 2023
Reply: Developing Machine Learning Algorithms to Support Patient-centered, Value-based Carpal Tunnel Decompression SurgeryLuke Geoghegan, Jeremy N Rodrigues, Chris J Sidey-Gibbons, et al.
Plastic and Reconstructive Surgery. Global Open|April 22, 2022
Developing Machine Learning Algorithms to Support Patient-centered, Value-based Carpal Tunnel Decompression SurgeryConrad J Harrison, Luke Geoghegan, Chris J Sidey-Gibbons, et al.
Journal of Medical Internet Research|July 30, 2021
Recursive Partitioning vs Computerized Adaptive Testing to Reduce the Burden of Health Assessments in Cleft Lip and/or Palate: Comparative Simulation StudyConrad J Harrison, Chris J Sidey-Gibbons, Anne F Klassen, et al.
Plastic and Reconstructive Surgery. Global Open|September 22, 2021
Deeper Understanding of Appearance in Orofacial Clefts: A Structural Equation Model of the CLEFT-Q Appearance ScalesConrad J Harrison, Chris J Sidey-Gibbons, Anne F Klassen, et al.
Journal of Plastic, Reconstructive & Aesthetic Surgery : JPRAS|December 30, 2020
Optimising the computerised adaptive test to reliably reduce the burden of administering the CLEFT-Q: A Monte Carlo simulation studyConrad J Harrison, Jeremy N Rodrigues, Dominic Furniss, et al.
Pageof 2

Showing results (1-10 of 18) with videos related to

Sort By:
Pageof 2
BMC Medical Research Methodology|August 1, 2021
Machine learning in medicine: a practical introduction to natural language processingConrad J Harrison, Chris J Sidey-Gibbons
BMC Medical Research Methodology|March 21, 2019
Machine learning in medicine: a practical introductionJenni A M Sidey-Gibbons, Chris J Sidey-Gibbons
Quality of Life Research : an International Journal of Quality of Life Aspects of Treatment, Care and Rehabilitation|September 30, 2021
Efficient and precise Ultra-QuickDASH scale measuring lymphedema impact developed using computerized adaptive testingCai Xu, Mark V Schaverien, Joani M Christensen, et al.
Plos One|February 14, 2019
Assessing mental health service user and carer involvement in physical health care planning: The development and validation of a new patient-reported experience measureChris J Sidey-Gibbons, Helen Brooks, Judith Gellatly, et al.
Scientific Reports|December 8, 2022
Predicting 180-day mortality for women with ovarian cancer using machine learning and patient-reported outcome dataChris J Sidey-Gibbons, Charlotte Sun, Amy Schneider, et al.
Plastic and Reconstructive Surgery. Global Open|February 13, 2023
Reply: Developing Machine Learning Algorithms to Support Patient-centered, Value-based Carpal Tunnel Decompression SurgeryLuke Geoghegan, Jeremy N Rodrigues, Chris J Sidey-Gibbons, et al.
Plastic and Reconstructive Surgery. Global Open|April 22, 2022
Developing Machine Learning Algorithms to Support Patient-centered, Value-based Carpal Tunnel Decompression SurgeryConrad J Harrison, Luke Geoghegan, Chris J Sidey-Gibbons, et al.
Journal of Medical Internet Research|July 30, 2021
Recursive Partitioning vs Computerized Adaptive Testing to Reduce the Burden of Health Assessments in Cleft Lip and/or Palate: Comparative Simulation StudyConrad J Harrison, Chris J Sidey-Gibbons, Anne F Klassen, et al.
Plastic and Reconstructive Surgery. Global Open|September 22, 2021
Deeper Understanding of Appearance in Orofacial Clefts: A Structural Equation Model of the CLEFT-Q Appearance ScalesConrad J Harrison, Chris J Sidey-Gibbons, Anne F Klassen, et al.
Journal of Plastic, Reconstructive & Aesthetic Surgery : JPRAS|December 30, 2020
Optimising the computerised adaptive test to reliably reduce the burden of administering the CLEFT-Q: A Monte Carlo simulation studyConrad J Harrison, Jeremy N Rodrigues, Dominic Furniss, et al.
Pageof 2