Hasil Pencarian - Iben M. Ricket

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  1. 1
    Can diverse population characteristics be leveraged in a machine learning pipeline to predict resource intensive healthcare utilization among hospital service areas?

    Can diverse population characteristics be leveraged in a machine learning pipeline to predict resource intensive healthcare utilization among hospital service areas? oleh Iben M. Ricket, Todd A. MacKenzie, Jennifer A. Emond, Kusum L. Ailawadi, Jeremiah R. Brown

    Diterbitkan 2022-06-01
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  2. 2
    Quantifying differences in packaged food and drink purchases among households with diet-related cardiometabolic multi-morbidity: a cross-sectional analysis

    Quantifying differences in packaged food and drink purchases among households with diet-related cardiometabolic multi-morbidity: a cross-sectional analysis oleh Iben M. Ricket, Jeremiah R. Brown, Todd A. MacKenzie, Yu Ma, Dhruv Grewal, Kusum L. Ailawadi, Jennifer A. Emond

    Diterbitkan 2022-11-01
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  3. 3
    Information Extraction From Electronic Health Records to Predict Readmission Following Acute Myocardial Infarction: Does Natural Language Processing Using Clinical Notes Improve Prediction of Readmission?

    Information Extraction From Electronic Health Records to Predict Readmission Following Acute Myocardial Infarction: Does Natural Language Processing Using Clinical Notes Improve Pr... oleh Jeremiah R. Brown, Iben M. Ricket, Ruth M. Reeves, Rashmee U. Shah, Christine A. Goodrich, Glen Gobbel, Meagan E. Stabler, Amy M. Perkins, Freneka Minter, Kevin C. Cox, Chad Dorn, Jason Denton, Bruce E. Bray, Ramkiran Gouripeddi, John Higgins, Wendy W. Chapman, Todd MacKenzie, Michael E. Matheny

    Diterbitkan 2022-04-01
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