Hasil Pencarian - Lily G Bessette

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  1. 1
    The impact of electronic health record discontinuity on prediction modeling.

    The impact of electronic health record discontinuity on prediction modeling. oleh Shreyas Kar, Lily G Bessette, Richard Wyss, Aaron S Kesselheim, Kueiyu Joshua Lin

    Diterbitkan 2023-01-01
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  2. 2
    Identifying Functional Status Impairment in People Living With Dementia Through Natural Language Processing of Clinical Documents: Cross-Sectional Study

    Identifying Functional Status Impairment in People Living With Dementia Through Natural Language Processing of Clinical Documents: Cross-Sectional Study oleh John Laurentiev, Dae Hyun Kim, Mufaddal Mahesri, Kuan-Yuan Wang, Lily G Bessette, Cassandra York, Heidi Zakoul, Su Been Lee, Li Zhou, Kueiyu Joshua Lin

    Diterbitkan 2024-02-01
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  3. 3
    The EMPagliflozin compaRative effectIveness and SafEty (EMPRISE) study programme: Design and exposure accrual for an evaluation of empagliflozin in routine clinical care

    The EMPagliflozin compaRative effectIveness and SafEty (EMPRISE) study programme: Design and exposure accrual for an evaluation of empagliflozin in routine clinical care oleh Elisabetta Patorno, Mehdi Najafzadeh, Ajinkya Pawar, Jessica M. Franklin, Anouk Déruaz‐Luyet, Kimberly G. Brodovicz, Adrian J. Santiago Ortiz, Lily G. Bessette, Martin Kulldorff, Sebastian Schneeweiss

    Diterbitkan 2020-01-01
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  4. 4
    The impact of using reinforcement learning to personalize communication on medication adherence: findings from the REINFORCE trial

    The impact of using reinforcement learning to personalize communication on medication adherence: findings from the REINFORCE trial oleh Julie C. Lauffenburger, Elad Yom-Tov, Punam A. Keller, Marie E. McDonnell, Katherine L. Crum, Gauri Bhatkhande, Ellen S. Sears, Kaitlin Hanken, Lily G. Bessette, Constance P. Fontanet, Nancy Haff, Seanna Vine, Niteesh K. Choudhry

    Diterbitkan 2024-02-01
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  5. 5
    REinforcement learning to improve non-adherence for diabetes treatments by Optimising Response and Customising Engagement (REINFORCE): study protocol of a pragmatic randomised trial

    REinforcement learning to improve non-adherence for diabetes treatments by Optimising Response and Customising Engagement (REINFORCE): study protocol of a pragmatic randomised tria... oleh Lily G Bessette, Elad Yom-Tov, Niteesh K Choudhry, Julie C Lauffenburger, Nancy Haff, Marie E McDonnell, Constance P Fontanet, Ellen S Sears, Erin Kim, Kaitlin Hanken, Renee A Barlev, Punam A Keller, J Joseph Buckley

    Diterbitkan 2021-12-01
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