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  1. effectivehealthcare.ahrq.gov/health-topics/learning-disorders/
  2. effectivehealthcare.ahrq.gov/products/machine-learning-screening/abstract
    April 30, 2019 - Apr. 29, 2019 Topic Initiated Nov. 15, 2019 Systematic Review Performance and Usability of Machine Learning … to create efficiencies in systematic review (SR) processes (systematicreviewtools.com), with machine learning … records To test how machine learning tools perform as a second reviewer for the screening task of … a SR To examine differences in screening outcomes and user experiences across machine learning tools … An initial evaluation showed that Abstrackr, a machine learning tool for study selection, can provide
  3. effectivehealthcare.ahrq.gov/news/learning-health-systems-panel
    Home » News » AHRQ EPC Program Launches Learning Health Systems Panel to Help Make Evidence Reports … More Useful to Health Systems in Improving Patient Care AHRQ EPC Program Launches Learning … panel to guide the EPC program in developing and disseminating evidence reports that can be used by learning … The learning health systems panel will generate ideas, provide feedback, make improvements, and implement … More information about this work, and the EPC Programs work with learning health systems, will be available
  4. effectivehealthcare.ahrq.gov/products/machine-learning-screening/methods-report
    November 15, 2019 - Apr. 29, 2019 Topic Initiated Nov. 15, 2019 Systematic Review Performance and Usability of Machine Learning … Purpose of Project For title and abstract screening, we explored the reliability of three machine learning … Standards for conducting and reporting evaluations of machine learning tools for screening will facilitate … Machine learning tools can expedite systematic review (SR) completion by reducing manual screening workloads … Performance and usability of machine learning for screening in systematic reviews: a comparative evaluation
  5. effectivehealthcare.ahrq.gov/products/machine-learning
    September 07, 2012 - A Pilot Study Using Machine Learning and Domain Knowledge To Facilitate Comparative Effectiveness Review … September 07, 2012 Research Report A Pilot Study Using Machine Learning
  6. effectivehealthcare.ahrq.gov/products/machine-learning-screening
    April 30, 2019 - Performance and Usability of Machine Learning for Screening in Systematic Reviews: A Comparative Evaluation … April 30, 2019 Abstract Performance and Usability of Machine Learning … November 15, 2019 Research Report Performance and Usability of Machine Learning
  7. effectivehealthcare.ahrq.gov/products/machine-learning-tool
    November 03, 2020 - Testing a Machine Learning Tool for Facilitating Living Systematic Reviews of Chronic Pain Treatments … Initiated November 03, 2020 Research Report Testing a Machine Learning
  8. effectivehealthcare.ahrq.gov/products/machine-learning/research
    September 07, 2012 - A Pilot Study Using Machine Learning and Domain Knowledge To Facilitate Comparative Effectiveness Review … A pilot study using machine learning and domain knowledge to facilitate comparative effectiveness review
  9. effectivehealthcare.ahrq.gov/products/machine-learning-quality
    September 21, 2012 - Machine Learning Methods in Systematic Reviews: Identifying Quality Improvement Intervention Evaluations … Topic Initiated September 21, 2012 Research Report Machine Learning
  10. effectivehealthcare.ahrq.gov/products/learning-health-systems-panel
    January 08, 2019 - Learning Health Systems Panel Timeline January 07, 2019 Topic Initiated … January 08, 2019 Series Overview Learning Health Systems Panel
  11. effectivehealthcare.ahrq.gov/news/health-systems-journal-article
    July 03, 2020 - Home » News » AHRQ Researchers Show How Learning Health Systems Can Help Organizations Improve … Practice AHRQ Researchers Show How Learning Health Systems Can Help Organizations … of Hospital Medicine article by AHRQ researchers explored how healthcare organizations can use the learning … The learning health system cycle is a valuable framework to improve practice and develop systems that … enhance continuous learning, according to the AHRQ authors.
  12. effectivehealthcare.ahrq.gov/products/machine-learning-quality/research
    September 21, 2012 - Machine Learning Methods in Systematic Reviews: Identifying Quality Improvement Intervention Evaluations … A machine learning approach may allow literature reviewers to screen only a fraction of a search output … Across two reference samples, the predictive performance of the machine learning approach demonstrated … Conclusions Machine learning approaches may assist in the title and abstract inclusion screening process
  13. effectivehealthcare.ahrq.gov/sites/default/files/pdf/ehc-presentation-quantitative-synthesis-learning-objectives-recommendations.pdf
    July 01, 2019 - Quantitative Synthesis: Learning Objectives and Recommendations Quantitative Synthesis Learning Objectives … More details on individual chapters can be found here: [Link] Systematic review process overview Learning … 10.1371/journal.pone.0092508 http://dx.doi.org/10.1371/journal.pmed.1000097 Quantitative Synthesis��Learning … Objectives and Recommendations Background Background Systematic review process overview Learning
  14. effectivehealthcare.ahrq.gov/products/learning-health-systems-pilot-adhd
    October 29, 2019 - Facilitating the Implementation of EPC Reports in Learning Health Systems Engaged in Quality Initiatives … 29, 2019 Research Report Facilitating the Implementation of EPC Reports in Learning
  15. effectivehealthcare.ahrq.gov/news/ahrq-blog-highlights-learning-health-systems
    August 29, 2019 - Home » News » AHRQ Blog Highlights EPC Program Innovations to Foster Evidence-based Care in Learning … Systems AHRQ Blog Highlights EPC Program Innovations to Foster Evidence-based Care in Learning
  16. effectivehealthcare.ahrq.gov/sites/default/files/pdf/machine-learning-quality_research.pdf
    September 01, 2012 - Machine Learning Methods in Systematic Reviews: Identifying Quality Improvement Intervention Evaluations … Analytic Framework Machine Learning in Systematic Reviews Appendix B. … Machine Learning Approach The overall machine learning approach applied to this project approach uses … The Nature of statistical learning theory. New York: Springer-Verlag; 1995. … Active learning for biomedical citation screening. KDD ‗2010.
  17. effectivehealthcare.ahrq.gov/products/stakeholders-engagement-others/slides-2011-1
    October 31, 2011 - Learning Modules: Engaging Stakeholders in the Effective Health Care Program (Slide Presentation) Presentation … October 31, 2011 These four learning modules provide researchers with information and
  18. effectivehealthcare.ahrq.gov/sites/default/files/pdf/methods-report-testing-machine-learning-tool-chronic-pain.pdf
    November 01, 2020 - Methods Research Report: Testing a Machine Learning Tool for Facilitating Living Systematic Reviews of … Chronic Pain Treatments Methods Research Report Testing a Machine Learninglearning classifiers using citations from previous reports. … Stage 3: Test Machine Learning Classifier on Monthly Update Searches The three machine learning models … Machine Learning: ECML-98; 1998 1998//; Berlin, Heidelberg.
  19. effectivehealthcare.ahrq.gov/sites/default/files/pdf/methods-report-machine-learning-screening.pdf
    November 01, 2019 - Methods Research Report: Performance and Usability of Machine Learning for Screening in Systematic Reviews … Methods Research Report Performance and Usability of Machine Learning for Screening in Systematic … Comparative Evaluation of Three Tools Methods Research Report Performance and Usability of Machine Learning … Machine Learning Tools Abstrackr (http://abstrackr.cebm.brown.edu), DistillerSR (the machine learning … Developing Stopping Rules for a Machine Learning System in Citation Screening [dissertation].
  20. effectivehealthcare.ahrq.gov/products/creating-efficiencies-extraction-data
    August 10, 2021 - Efficiencies in the Extraction of Data From Randomized Trials: A Prospective Evaluation of a Machine Learning … Efficiencies in the Extraction of Data From Randomized Trials: A Prospective Evaluation of a Machine Learning

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