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  • 2021 Webinars
  • 2021 Webinars

    A likelihood-based convolution approach to estimate major health events in longitudinal health data

    A likelihood-based convolution approach to estimate major health events in longitudinal health data

    Identifying risk of opioid use disorder for patients taking opioid medications with deep learning

    Identifying risk of opioid use disorder for patients taking opioid medications with deep learning

    Finding commonalities in rare diseases through the undiagnosed diseases network

    Finding commonalities in rare diseases through the undiagnosed diseases network

    Prediction of patient disposition: comparison of computer and human approaches and a proposed synthesis

    Prediction of patient disposition: comparison of computer and human approaches and a proposed synthesis

    Comparison of family health history in surveys vs. electronic health record data mapped to the observational medical outcomes partnership data model in the All of Us Research Program

    Comparison of family health history in surveys vs. electronic health record data mapped to the observational medical outcomes partnership data model in the All of Us Research Program

    Using machine learning to improve the accuracy of patient deterioration predictions: Mayo Clinic Early Warning Score (MC-EWS)

    Using machine learning to improve the accuracy of patient deterioration predictions: Mayo Clinic Early Warning Score (MC-EWS)

    Precision population analytics: population management at the point-of-care

    Precision population analytics: population management at the point-of-care

    The risk of racial bias while tracking influenza-related content on social media using machine learning

    The risk of racial bias while tracking influenza-related content on social media using machine learning

    A framework for making predictive models useful in practice

    A framework for making predictive models useful in practice

    Sharing patient-generated data with healthcare providers: findings from a 2019 national survey

    Sharing patient-generated data with healthcare providers: findings from a 2019 national survey