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REinforcement learning to improve non-adherence for diabetes treatments by Optimising Response and Customising Engagement (REINFORCE): study protocol of a pragmatic randomised trial.
Lauffenburger JC, Yom-Tov E, Keller PA, McDonnell ME, Bessette LG, Fontanet CP, Sears ES, Kim E, Hanken K, Buckley JJ, Barlev RA, Haff N, Choudhry NK. Lauffenburger JC, et al. Among authors: kim e. BMJ Open. 2021 Dec 3;11(12):e052091. doi: 10.1136/bmjopen-2021-052091. BMJ Open. 2021. PMID: 34862289 Free PMC article.
Improving the accuracy of automated gout flare ascertainment using natural language processing of electronic health records and linked Medicare claims data.
Yoshida K, Cai T, Bessette LG, Kim E, Lee SB, Zabotka LE, Sun A, Mastrorilli JM, Oduol TA, Liu J, Solomon DH, Kim SC, Desai RJ, Liao KP. Yoshida K, et al. Among authors: kim e, kim sc. Pharmacoepidemiol Drug Saf. 2024 Jan;33(1):e5684. doi: 10.1002/pds.5684. Epub 2023 Aug 31. Pharmacoepidemiol Drug Saf. 2024. PMID: 37654015
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