Results

Total Results: 2,102 records

Showing results for "learning".
Users also searched for: pap smear

41. Mining patient-specific and contextual data with machine learning technologies to predict cancellation of children's surgery. | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/using-electronic-health-record-identify-children-likely-suffer-last-minute/citation/mining
    January 01, 2023 - Mining patient-specific and contextual data with machine learning technologies to predict cancellation … Mining patient-specific and contextual data with machine learning technologies to predict cancellation … Technology Artificial Intelligence Electronic Health Record/Electronic Medical Record Machine Learning

42. Early identification of epilepsy surgery candidates: A multicenter, machine learning study. | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/optimal-methods-notifying-clinicians-about-epilepsy-surgery-patients/citation/early
    January 01, 2023 - Early identification of epilepsy surgery candidates: A multicenter, machine learning study. … Early identification of epilepsy surgery candidates: A multicenter, machine learning study. … Clinicians About Epilepsy Surgery Patients Technology Artificial Intelligence Machine Learning

43. Use of machine learning to develop and evaluate models using preoperative and intraoperative data to identify risks of postoperative complications. | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/anesthesiology-control-tower-feedback-alerts-supplement-treatment-actfast/citation/use
    January 01, 2023 - Use of machine learning to develop and evaluate models using preoperative and intraoperative data to … Use of machine learning to develop and evaluate models using preoperative and intraoperative data to … Feedback Alerts to Supplement Treatment (ACTFAST) Technology Artificial Intelligence Machine Learning

44. Machine learning vs. traditional regression analysis for fluid overload prediction in the ICU. | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/artificial-intelligence-based-health-it-tools-optimize-critical-care/citation/machine
    January 01, 2023 - Machine learning vs. traditional regression analysis for fluid overload prediction in the ICU. … Machine learning vs. traditional regression analysis for fluid overload prediction in the ICU. … Critical Care Pharmacist Resources Through Adverse Drug Event Prediction Technology Machine Learning

45. Adaptive learning algorithms to optimize mobile applications for behavioral health: guidelines for design decisions. | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/improving-diabetes-and-depression-self-management-adaptive-mobile-messaging/citation/adaptive
    January 01, 2023 - Adaptive learning algorithms to optimize mobile applications for behavioral health: guidelines for design … Adaptive learning algorithms to optimize mobile applications for behavioral health: guidelines for design … Diabetes and Depression Self-Management Via Adaptive Mobile Messaging Technology Machine Learning

46. Identifying high need primary care patients using nursing knowledge and machine learning methods. | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/implementing-personalized-cross-sector-transitional-care-management-promote/citation/identifying
    January 01, 2023 - Identifying high need primary care patients using nursing knowledge and machine learning methods. … CIC 2022: Identifying high need primary care patients using nursing knowledge and machine learning methods … Treatment for High-Need, High-Cost Patients Technology Health Information Exchange Machine Learning

47. Leveraging Health System Telehealth and Informatics Infrastructure to Create a Continuum of Services for COVID-19 Screening, Testing, and Treatment: A Learning Health System Approach - Final Report | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/leveraging-health-system-telehealth-and-informatics-infrastructure-create/final-report
    January 01, 2023 - Infrastructure to Create a Continuum of Services for COVID-19 Screening, Testing, and Treatment: A Learning … Infrastructure to Create a Continuum of Services for COVID-19 Screening, Testing, and Treatment: A Learning … Infrastructure to Create a Continuum of Services for COVID-19 Screening, Testing, and Treatment: A Learning

48. Patient care in complex Sociotechnological ecosystems and learning health systems. | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/connected-cancer-care-ehr-communication-networks-virtual-cancer-care-teams/citation/patient
    January 01, 2024 - Patient care in complex Sociotechnological ecosystems and learning health systems. … Patient care in complex Sociotechnological ecosystems and learning health systems.

49. Artificial Intelligence-Based Health Information Technology Tools to Optimize Critical Care Pharmacist Resources Through Adverse Drug Event Prediction | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/artificial-intelligence-based-health-it-tools-optimize-critical-care
    January 01, 2024 - 31/2027 Technology Artificial Intelligence Dashboard Data Visualization Machine Learning … Unsupervised machine learning analysis to identify patterns of ICU medication use for fluid overload … Machine learning vs. traditional regression analysis for fluid overload prediction in the ICU. … Machine learning vs. traditional regression analysis for fluid overload prediction in the ICU. … Machine learning based prediction of prolonged duration of mechanical ventilation incorporating

50. Digital supervision in the clinical learning environment: Characterizing teamwork in the electronic health record. | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/use-ehr-metadata-assess-hospital-discharge-planning-post-acute-transitions/citation/digital
    January 01, 2024 - Digital supervision in the clinical learning environment: Characterizing teamwork in the electronic health … Digital supervision in the clinical learning environment: Characterizing teamwork in the electronic health

51. A model of academic-practice collaboration for facilitating informatics capacity and building a learning health system framework in public health. | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/advancing-population-and-public-health-reporting-and-outcomes-vaccination-data-exchange-approve/citation/model
    January 01, 2024 - A model of academic-practice collaboration for facilitating informatics capacity and building a learning … A model of academic-practice collaboration for facilitating informatics capacity and building a learning

52. EnhanCed HandOffs (ECHO) | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/enhanced-handoffs-echo
    January 01, 2024 - Project Description Publications Research Story Implementing a machine learning-augmented … Machine learning-augmented interventions in perioperative care: A systematic review and meta-analysis … Machine learning-augmented interventions in perioperative care: A systematic review and meta-analysis … By harnessing state of-the-art machine learning and telemedicine innovations, I am confident that our … to Improve Patient Triage in the Emergency Department Using Machine Learning for Military Service

53. Enabling open science for health research: collaborative informatics environment for learning on health outcomes (CIELO). | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/academyhealth-electronic-data-methods-edm-forum-second-phase/citation/enabling
    January 01, 2023 - Enabling open science for health research: collaborative informatics environment for learning on health … Enabling open science for health research: collaborative informatics environment for learning on health

54. Machine learning techniques for prediction of early childhood obesity. | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/computer-automated-developmental-surveillance-and-screening/citation/machine
    January 01, 2023 - Machine learning techniques for prediction of early childhood obesity. … Machine learning techniques for prediction of early childhood obesity.

55. Optimal Methods for Notifying Clinicians About Epilepsy Surgery Patients | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/optimal-methods-notifying-clinicians-about-epilepsy-surgery-patients
    January 01, 2023 - This research prospectively evaluated a machine learning algorithm that identified surgical candidates … The research showed that an EHR-integrated machine learning algorithm can aid clinicians in identifying … Automated, machine learning-based alerts increase epilepsy surgery referrals: A randomized controlled … Early identification of epilepsy surgery candidates: A multicenter, machine learning study. … Investigation of bias in an epilepsy machine learning algorithm trained on physician notes.

56. Machine learning techniques for prediction of early childhood obesity. | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/computer-supported-management-medical-legal-issues-impacting-child-health/citation/machine
    January 01, 2023 - Machine learning techniques for prediction of early childhood obesity. … Machine learning techniques for prediction of early childhood obesity.

57. Patient-tailored prioritization for a pediatric care decision support system through machine learning. | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/computer-automated-developmental-surveillance-and-screening/citation/patient
    January 01, 2023 - Patient-tailored prioritization for a pediatric care decision support system through machine learning … Patient-tailored prioritization for a pediatric care decision support system through machine learning

58. Learning from errors: analysis of medication order voiding in CPOE systems. | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/tools-optimizing-medication-safety-top-meds/citation/learning-errors-analysis
    January 01, 2023 - Learning from errors: analysis of medication order voiding in CPOE systems. … Learning from errors: analysis of medication order voiding in CPOE systems.

59. Using the Electronic Health Record To Identify Children Likely To Suffer Last-Minute Surgery Cancellation | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/using-electronic-health-record-identify-children-likely-suffer-last-minute
    January 01, 2023 - Close Project Description Publications The use of machine learning … Machine learning uses computerized algorithms to identify patterns among a dataset that can be used to … Machine learning classifiers were formed to predict patient-related cancellations. … The findings found that machine learning to predict surgery cancellation is feasible, particularly with … Mining patient-specific and contextual data with machine learning technologies to predict cancellation

60. Learning from patients' experiences related to diagnostic errors is essential for progress in patient safety. | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/decision-making-and-clinical-work-test-result-followup-health-information/citation/learning
    January 01, 2023 - Learning from patients' experiences related to diagnostic errors is essential for progress in patient … Learning from patients' experiences related to diagnostic errors is essential for progress in patient