Hasil Pencarian - Gina Barnes

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  1. 1
    A Digital Twins Machine Learning Model for Forecasting Disease Progression in Stroke Patients

    A Digital Twins Machine Learning Model for Forecasting Disease Progression in Stroke Patients oleh Angier Allen, Anna Siefkas, Emily Pellegrini, Hoyt Burdick, Gina Barnes, Jacob Calvert, Qingqing Mao, Ritankar Das

    Diterbitkan 2021-06-01
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  2. 2
    Predicting pulmonary embolism among hospitalized patients with machine learning algorithms

    Predicting pulmonary embolism among hospitalized patients with machine learning algorithms oleh Logan Ryan, Jenish Maharjan, Samson Mataraso, Gina Barnes, Jana Hoffman, Qingqing Mao, Jacob Calvert, Ritankar Das

    Diterbitkan 2022-01-01
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  3. 3
    Machine learning to predict progression of non‐alcoholic fatty liver to non‐alcoholic steatohepatitis or fibrosis

    Machine learning to predict progression of non‐alcoholic fatty liver to non‐alcoholic steatohepatitis or fibrosis oleh Sina Ghandian, Rahul Thapa, Anurag Garikipati, Gina Barnes, Abigail Green‐Saxena, Jacob Calvert, Qingqing Mao, Ritankar Das

    Diterbitkan 2022-03-01
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  4. 4
    Machine Learning Approach with Harmonized Multinational Datasets for Enhanced Prediction of Hypothyroidism in Patients with Type 2 Diabetes

    Machine Learning Approach with Harmonized Multinational Datasets for Enhanced Prediction of Hypothyroidism in Patients with Type 2 Diabetes oleh Robert P. Adelson, Anurag Garikipati, Yunfan Zhou, Madalina Ciobanu, Ken Tawara, Gina Barnes, Navan Preet Singh, Qingqing Mao, Ritankar Das

    Diterbitkan 2024-05-01
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  5. 5
    Predicting Falls in Long-term Care Facilities: Machine Learning Study

    Predicting Falls in Long-term Care Facilities: Machine Learning Study oleh Rahul Thapa, Anurag Garikipati, Sepideh Shokouhi, Myrna Hurtado, Gina Barnes, Jana Hoffman, Jacob Calvert, Lynne Katzmann, Qingqing Mao, Ritankar Das

    Diterbitkan 2022-04-01
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  6. 6
    Machine learning determination of applied behavioral analysis treatment plan type

    Machine learning determination of applied behavioral analysis treatment plan type oleh Jenish Maharjan, Anurag Garikipati, Frank A. Dinenno, Madalina Ciobanu, Gina Barnes, Ella Browning, Jenna DeCurzio, Qingqing Mao, Ritankar Das

    Diterbitkan 2023-03-01
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  7. 7
    Retrospective validation of a machine learning clinical decision support tool for myocardial infarction risk stratification

    Retrospective validation of a machine learning clinical decision support tool for myocardial infarction risk stratification oleh Saarang Panchavati, Carson Lam, Nicole S. Zelin, Emily Pellegrini, Gina Barnes, Jana Hoffman, Anurag Garikipati, Jacob Calvert, Qingqing Mao, Ritankar Das

    Diterbitkan 2021-12-01
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  8. 8
    Machine Learning Approach for Improved Longitudinal Prediction of Progression from Mild Cognitive Impairment to Alzheimer’s Disease

    Machine Learning Approach for Improved Longitudinal Prediction of Progression from Mild Cognitive Impairment to Alzheimer’s Disease oleh Robert P. Adelson, Anurag Garikipati, Jenish Maharjan, Madalina Ciobanu, Gina Barnes, Navan Preet Singh, Frank A. Dinenno, Qingqing Mao, Ritankar Das

    Diterbitkan 2023-12-01
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  9. 9
    OpenMedLM: prompt engineering can out-perform fine-tuning in medical question-answering with open-source large language models

    OpenMedLM: prompt engineering can out-perform fine-tuning in medical question-answering with open-source large language models oleh Jenish Maharjan, Anurag Garikipati, Navan Preet Singh, Leo Cyrus, Mayank Sharma, Madalina Ciobanu, Gina Barnes, Rahul Thapa, Qingqing Mao, Ritankar Das

    Diterbitkan 2024-06-01
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  10. 10
    Enriching the Study Population for Ischemic Stroke Therapeutic Trials Using a Machine Learning Algorithm

    Enriching the Study Population for Ischemic Stroke Therapeutic Trials Using a Machine Learning Algorithm oleh Jenish Maharjan, Yasha Ektefaie, Logan Ryan, Samson Mataraso, Gina Barnes, Sepideh Shokouhi, Abigail Green-Saxena, Jacob Calvert, Qingqing Mao, Ritankar Das

    Diterbitkan 2022-01-01
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  11. 11
    A Machine Learning Approach to Predict Deep Venous Thrombosis Among Hospitalized Patients

    A Machine Learning Approach to Predict Deep Venous Thrombosis Among Hospitalized Patients oleh Logan Ryan BS, Samson Mataraso BS, Anna Siefkas SM, Emily Pellegrini MEng, Gina Barnes MPH, Abigail Green-Saxena PhD, Jana Hoffman PhD, Jacob Calvert MSc, Ritankar Das MSc

    Diterbitkan 2021-02-01
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