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  1. digital.ahrq.gov/sites/default/files/docs/citation/r21hs024739-nahm-final-report-2019.pdf
    January 01, 2019 - T-PeP includes learning modules, moderated discussion boards, and a virtual library. … It also has 25 learning centers throughout the nation.32 The members’ median age is 60 to 70 years, … A new learning module and an accompanying discussion forum opened on the T-PeP website weekly for 3 … Fidelity Monitoring of the Intervention Participants’ use of the learning modules and discussion … Learning about PPs can affect both health-related outcomes and eHealth literacy on technology.
  2. digital.ahrq.gov/sites/default/files/docs/citation/r18hs026188-gong-final-report-2022.pdf
    January 01, 2022 - We aimed to train a deep learning model using Long Short Term Memory (LSTM) framework and Active Learning … Active Learning To increase the size of the dataset, we used the “active learning” technique to provide … Active learning is commonly used when labeling data is time- consuming and expensive. … This was supported by our machine learning algorithm, ARDS Sniffer 2.0. … Active Learning Literature Survey. Computer Sciences Technical Report 1648.
  3. digital.ahrq.gov/care-setting/urgent-care-center
    January 01, 2023 - by using mixed methods (stakeholder interviews and surveys, electronic health records, and machine learning
  4. digital.ahrq.gov/ahrq-funded-projects/incorporating-patient-reported-outcomes-shared-decision-making-patients/citation/incorporating
    January 01, 2023 - Shared Decision Making with Patients with Osteoarthritis of the Knee Technology Machine Learning
  5. digital.ahrq.gov/location/usa-ia-britt
    January 01, 2023 - Also served as a critical learning tool for clinicians in a coalition of three large health organizations
  6. digital.ahrq.gov/medical-condition/chronic-care-needs
    January 01, 2024 - Proficiency and Complex Care Needs Description This research will test and validate a machine learning
  7. digital.ahrq.gov/principal-investigator/ahmed-abdulaziz
    January 01, 2024 - Mitigate Emergency Department Overcrowding Problems Description This research will use deep learning
  8. digital.ahrq.gov/principal-investigator/ozaydin-bunyamin
    January 01, 2024 - Mitigate Emergency Department Overcrowding Problems Description This research will use deep learning
  9. digital.ahrq.gov/medical-condition/diabetes-mellitus
    January 01, 2025 - Messaging Effectiveness of a digital health intervention leveraging reinforcement learning … Effectiveness of a Digital Health Intervention Leveraging Reinforcement Learning: Results From the Diabetes
  10. digital.ahrq.gov/research-method/cross-sectional-prevalence-study
    January 01, 2025 - Clinic Note using the SEE-Diabetes Modules Digital supervision in the clinical learning … Digital supervision in the clinical learning environment: Characterizing teamwork in the electronic health
  11. digital.ahrq.gov/population/caregiver
    January 01, 2025 - HS030202 Principal Investigator(s) Abraham, Olufunmilola Machine-Learning … Infection Care in Children Description The study will develop and implement a validated machine learning
  12. digital.ahrq.gov/ahrq-funded-projects/health-information-technology-heart-failure-care
    January 01, 2023 - /2018 Technology Artificial Intelligence Clinical Decision Support System Machine Learning … Usability Assessment Technology: Artificial Intelligence , Clinical Decision Support System , Machine Learning … Document Type: Journal Publication Research Method: Quantitative , Retrospective Technology: Machine Learning
  13. digital.ahrq.gov/sites/default/files/docs/hit-aging-adults-slides-071717.pdf
    July 17, 2017 - Questions will be read aloud by the moderator. 5 Learning Objectives At the conclusion of this activity … What are we learning? New developments How are we disseminating? … Informatics, Beth Israel Deaconess Medical Center Professor of Medicine, Harvard Medical School 40 Learning … Communication With Aging Adults Presenter and Moderator Disclosures Agenda How to Submit a Question Learning … Contact Information Leveraging Private Social Networks for the Care of Elderly Patients Learning Objectives
  14. digital.ahrq.gov/ahrq-funded-projects/patient-centered-outcomes-research-clinical-decision-support-learning-network/citation/barriers
    January 01, 2023 - Project Name Patient-Centered Outcomes Research Clinical Decision Support Learning Network
  15. digital.ahrq.gov/ahrq-funded-projects/leveraging-health-system-telehealth-and-informatics-infrastructure-create/citation/modification
    January 01, 2023 - Infrastructure to Create a Continuum of Services for COVID-19 Screening, Testing, and Treatment: A Learning
  16. digital.ahrq.gov/ahrq-funded-projects/leveraging-health-system-telehealth-and-informatics-infrastructure-create/citation/contribution
    January 01, 2023 - Infrastructure to Create a Continuum of Services for COVID-19 Screening, Testing, and Treatment: A Learning
  17. digital.ahrq.gov/ahrq-funded-projects/leveraging-health-system-telehealth-and-informatics-infrastructure-create/citation/not
    January 01, 2023 - Infrastructure to Create a Continuum of Services for COVID-19 Screening, Testing, and Treatment: A Learning
  18. digital.ahrq.gov/principal-investigator/friedman-charles
    January 01, 2023 - Infrastructure Employing the USPSTF Recommendations in Computable Form Description This study used learning
  19. digital.ahrq.gov/ahrq-funded-projects/improving-missing-data-analysis-distributed-research-networks/final-report
    January 01, 2023 - in Distributed Research Networks Technology Artificial Intelligence Database Machine Learning
  20. digital.ahrq.gov/ahrq-funded-projects/using-artificial-intelligence-support-efficient-same-day-diagnostic-imaging
    January 01, 2025 - Project Dates 09/30/2022 - 09/29/2027 Technology Artificial Intelligence Machine Learning … Publication Research Method: Quantitative , Retrospective Technology: Artificial Intelligence , Machine Learning … Conference Proceeding Research Method: Descriptive Technology: Artificial Intelligence , Machine Learning

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