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Ashley Elizabeth Muller

Showing results (21-30 of 30) with videos related to

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Research Synthesis Methods|December 17, 2021
Machine learning in systematic reviews: Comparing automated text clustering with Lingo3G and human researcher categorization in a rapid reviewAshley Elizabeth Muller, Heather Melanie R Ames, Patricia Sofia Jacobsen Jardim, et al.
Journal of Translational Medicine|December 15, 2020
Potential causal factors of CFS/ME: a concise and systematic scoping review of factors researchedAshley Elizabeth Muller, Kari Tveito, Inger Johanne Bakken, et al.
Telemedicine Journal and E-Health : the Official Journal of the American Telemedicine Association|October 19, 2021
Can Remote Patient Monitoring Be the New Standard in Primary Care of Chronic Diseases, Post-COVID-19?Ashley Elizabeth Muller, Rigmor C Berg, Patricia Sofia Jacobsen Jardim, et al.
Health & Justice|May 14, 2020
Factors associated with drug use in prison - results from the Norwegian offender mental health and addiction (NorMA) studyAnne Bukten, Ingunn Olea Lund, Stuart A Kinner, et al.
BMC Medical Research Methodology|June 8, 2022
Automating risk of bias assessment in systematic reviews: a real-time mixed methods comparison of human researchers to a machine learning systemPatricia Sofia Jacobsen Jardim, Christopher James Rose, Heather Melanie Ames, et al.
Cochrane Evidence Synthesis and Methods|July 14, 2025
Artificial Intelligence and Machine Learning to Improve Evidence Synthesis Production Efficiency: An Observational Study of Resource Use and Time-to-CompletionChristopher James Rose, Jose Francisco Meneses-Echavez, Ashley Elizabeth Muller, et al.
Psychiatry Research|September 8, 2020
The mental health impact of the covid-19 pandemic on healthcare workers, and interventions to help them: A rapid systematic reviewAshley Elizabeth Muller, Elisabet Vivianne Hafstad, Jan Peter William Himmels, et al.
Systematic Reviews|January 17, 2023
The effect of machine learning tools for evidence synthesis on resource use and time-to-completion: protocol for a retrospective pilot studyAshley Elizabeth Muller, Rigmor C Berg, Jose Francisco Meneses-Echavez, et al.
Cochrane Evidence Synthesis and Methods|September 19, 2025
Using a Large Language Model (ChatGPT-4o) to Assess the Risk of Bias in Randomized Controlled Trials of Medical Interventions: Interrater Agreement With Human ReviewersChristopher James Rose, Julia Bidonde, Martin Ringsten, et al.
BMC Medical Research Methodology|August 1, 2025
Using a large language model (ChatGPT) to assess risk of bias in randomized controlled trials of medical interventions: protocol for a pilot study of interrater agreement with human reviewersChristopher James Rose, Julia Bidonde, Martin Ringsten, et al.
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Showing results (21-30 of 30) with videos related to

Sort By:
Pageof 3
You have reached the last page of results.This site can display upto 30 results.
Research Synthesis Methods|December 17, 2021
Machine learning in systematic reviews: Comparing automated text clustering with Lingo3G and human researcher categorization in a rapid reviewAshley Elizabeth Muller, Heather Melanie R Ames, Patricia Sofia Jacobsen Jardim, et al.
Journal of Translational Medicine|December 15, 2020
Potential causal factors of CFS/ME: a concise and systematic scoping review of factors researchedAshley Elizabeth Muller, Kari Tveito, Inger Johanne Bakken, et al.
Telemedicine Journal and E-Health : the Official Journal of the American Telemedicine Association|October 19, 2021
Can Remote Patient Monitoring Be the New Standard in Primary Care of Chronic Diseases, Post-COVID-19?Ashley Elizabeth Muller, Rigmor C Berg, Patricia Sofia Jacobsen Jardim, et al.
Health & Justice|May 14, 2020
Factors associated with drug use in prison - results from the Norwegian offender mental health and addiction (NorMA) studyAnne Bukten, Ingunn Olea Lund, Stuart A Kinner, et al.
BMC Medical Research Methodology|June 8, 2022
Automating risk of bias assessment in systematic reviews: a real-time mixed methods comparison of human researchers to a machine learning systemPatricia Sofia Jacobsen Jardim, Christopher James Rose, Heather Melanie Ames, et al.
Cochrane Evidence Synthesis and Methods|July 14, 2025
Artificial Intelligence and Machine Learning to Improve Evidence Synthesis Production Efficiency: An Observational Study of Resource Use and Time-to-CompletionChristopher James Rose, Jose Francisco Meneses-Echavez, Ashley Elizabeth Muller, et al.
Psychiatry Research|September 8, 2020
The mental health impact of the covid-19 pandemic on healthcare workers, and interventions to help them: A rapid systematic reviewAshley Elizabeth Muller, Elisabet Vivianne Hafstad, Jan Peter William Himmels, et al.
Systematic Reviews|January 17, 2023
The effect of machine learning tools for evidence synthesis on resource use and time-to-completion: protocol for a retrospective pilot studyAshley Elizabeth Muller, Rigmor C Berg, Jose Francisco Meneses-Echavez, et al.
Cochrane Evidence Synthesis and Methods|September 19, 2025
Using a Large Language Model (ChatGPT-4o) to Assess the Risk of Bias in Randomized Controlled Trials of Medical Interventions: Interrater Agreement With Human ReviewersChristopher James Rose, Julia Bidonde, Martin Ringsten, et al.
BMC Medical Research Methodology|August 1, 2025
Using a large language model (ChatGPT) to assess risk of bias in randomized controlled trials of medical interventions: protocol for a pilot study of interrater agreement with human reviewersChristopher James Rose, Julia Bidonde, Martin Ringsten, et al.
Pageof 3