Ngā hua rapu - Jacob Calvert

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  1. 1
    G-quadruplex formation in double strand DNA probed by NMM and CV fluorescence

    G-quadruplex formation in double strand DNA probed by NMM and CV fluorescence mā Alex Kreig, Jacob Calvert, Janet Sanoica, Emily Cullum, Ramreddy Tipanna, Sua Myong

    I whakaputaina 2015
    Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa
    Artigo
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  2. 2
    Prediction of early unplanned intensive care unit readmission in a UK tertiary care hospital: a cross-sectional machine learning approach

    Prediction of early unplanned intensive care unit readmission in a UK tertiary care hospital: a cross-sectional machine learning approach mā Thomas Desautels, Ritankar Das, Jacob Calvert, Monica Trivedi, Charlotte Summers, David J. Wales, Ari Ercole

    I whakaputaina 2017
    Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa
    Artigo
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  3. 3
    Supervised machine learning for the early prediction of acute respiratory distress syndrome (ARDS)

    Supervised machine learning for the early prediction of acute respiratory distress syndrome (ARDS) mā Sidney Le, Emily Pellegrini, Abigail Green‐Saxena, Charlotte Summers, Jana Hoffman, Jacob Calvert, Ritankar Das

    I whakaputaina 2020
    Whiwhi kuputuhi katoa
    Artigo
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  4. 4
    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 mā Angier Allen, Anna Siefkas, Emily Pellegrini, Hoyt Burdick, Gina Barnes, Jacob Calvert, Qingqing Mao, Ritankar Das

    I whakaputaina 2021
    Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa
    Artigo
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  5. 5
    Pediatric Severe Sepsis Prediction Using Machine Learning

    Pediatric Severe Sepsis Prediction Using Machine Learning mā Sidney Le, Jana Hoffman, Christopher Barton, Julie C. Fitzgerald, Angier Allen, Emily Pellegrini, Jacob Calvert, Ritankar Das

    I whakaputaina 2019
    Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa
    Artigo
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  6. 6
    Prediction of Acute Kidney Injury With a Machine Learning Algorithm Using Electronic Health Record Data

    Prediction of Acute Kidney Injury With a Machine Learning Algorithm Using Electronic Health Record Data mā Hamid Mohamadlou, Anna Lynn-Palevsky, Christopher Barton, Uli K. Chettipally, Lisa Shieh, Jacob Calvert, Nicholas Saber, Ritankar Das

    I whakaputaina 2018
    Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa
    Artigo
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  7. 7
    Evaluation of a machine learning algorithm for up to 48-hour advance prediction of sepsis using six vital signs

    Evaluation of a machine learning algorithm for up to 48-hour advance prediction of sepsis using six vital signs mā Christopher Barton, Uli K. Chettipally, Yifan Zhou, Zirui Jiang, Anna Lynn-Palevsky, Sidney Le, Jacob Calvert, Ritankar Das

    I whakaputaina 2019
    Whiwhi kuputuhi katoa
    Artigo
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  8. 8
    High-performance detection and early prediction of septic shock for alcohol-use disorder patients

    High-performance detection and early prediction of septic shock for alcohol-use disorder patients mā Jacob Calvert, Thomas Desautels, Uli K. Chettipally, Christopher Barton, Jana Hoffman, Melissa Jay, Qingqing Mao, Hamid Mohamadlou, Ritankar Das

    I whakaputaina 2016
    Whiwhi kuputuhi katoa
    Artigo
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  9. 9
    Predicting ventilator-associated pneumonia with machine learning

    Predicting ventilator-associated pneumonia with machine learning mā Christine Giang, Jacob Calvert, Keyvan Rahmani, Gina Barnes, Anna Siefkas, Abigail Green‐Saxena, Jana Hoffman, Qingqing Mao, Ritankar Das

    I whakaputaina 2021
    Whiwhi kuputuhi katoa
    Artigo
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  10. 10
    A Machine Learning Approach to Predict Deep Venous Thrombosis Among Hospitalized Patients

    A Machine Learning Approach to Predict Deep Venous Thrombosis Among Hospitalized Patients mā Logan Ryan, Samson Mataraso, Anna Siefkas, Emily Pellegrini, Gina Barnes, Abigail Green‐Saxena, Jana Hoffman, Jacob Calvert, Ritankar Das

    I whakaputaina 2021
    Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa
    Artigo
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  11. 11
    A computational approach to early sepsis detection

    A computational approach to early sepsis detection mā Jacob Calvert, D A Price, Uli K. Chettipally, Christopher W. Barton, Mitchell D. Feldman, Jana Hoffman, Melissa Jay, Ritankar Das

    I whakaputaina 2016
    Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa
    Artigo
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  12. 12
    Predicting Falls in Long-term Care Facilities: Machine Learning Study

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

    I whakaputaina 2022
    Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa
    Artigo
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  13. 13
    Telomeric Overhang Length Determines Structural Dynamics and Accessibility to Telomerase and ALT-Associated Proteins

    Telomeric Overhang Length Determines Structural Dynamics and Accessibility to Telomerase and ALT-Associated Proteins mā Helen Hwang, Alex Kreig, Jacob Calvert, Justin D Lormand, Youngho Kwon, James M. Daley, Patrick Sung, Patricia L. Opresko, Sua Myong

    I whakaputaina 2014
    Whiwhi kuputuhi katoa
    Artigo
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  14. 14
    Convolutional Neural Network Model for Intensive Care Unit Acute Kidney Injury Prediction

    Convolutional Neural Network Model for Intensive Care Unit Acute Kidney Injury Prediction mā Sidney Le, Angier Allen, Jacob Calvert, Paul M. Palevsky, Gregory L. Braden, Sharad Patel, Emily Pellegrini, Abigail Green‐Saxena, Jana Hoffman, Ritankar Das

    I whakaputaina 2021
    Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa
    Artigo
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  15. 15
    Multicentre validation of a sepsis prediction algorithm using only vital sign data in the emergency department, general ward and ICU

    Multicentre validation of a sepsis prediction algorithm using only vital sign data in the emergency department, general ward and ICU mā Qingqing Mao, Melissa Jay, Jana Hoffman, Jacob Calvert, Christopher Barton, David Shimabukuro, Lisa Shieh, Uli K. Chettipally, Grant Fletcher, Yaniv Kerem, Yifan Zhou, Ritankar Das

    I whakaputaina 2018
    Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa
    Artigo
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  16. 16
    Prediction of Sepsis in the Intensive Care Unit With Minimal Electronic Health Record Data: A Machine Learning Approach

    Prediction of Sepsis in the Intensive Care Unit With Minimal Electronic Health Record Data: A Machine Learning Approach mā Thomas Desautels, Jacob Calvert, Jana Hoffman, Melissa Jay, Yaniv Kerem, Lisa Shieh, David Shimabukuro, Uli K. Chettipally, Mitchell D. Feldman, Chris W. Barton, David J. Wales, Ritankar Das

    I whakaputaina 2016
    Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa
    Artigo
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  17. 17
    A Racially Unbiased, Machine Learning Approach to Prediction of Mortality: Algorithm Development Study

    A Racially Unbiased, Machine Learning Approach to Prediction of Mortality: Algorithm Development Study mā Angier Allen, Samson Mataraso, Anna Siefkas, Hoyt Burdick, Gregory L. Braden, R.P. Dellinger, Andrea J. McCoy, Emily Pellegrini, Jana Hoffman, Abigail Green‐Saxena, Gina Barnes, Jacob Calvert, Ritankar Das

    I whakaputaina 2020
    Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa
    Artigo
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  18. 18
    Prediction of respiratory decompensation in Covid-19 patients using machine learning: The READY trial

    Prediction of respiratory decompensation in Covid-19 patients using machine learning: The READY trial mā Hoyt Burdick, Carson Lam, Samson Mataraso, Anna Siefkas, Gregory L. Braden, R. Phillip Dellinger, Andrea J. McCoy, Jean‐Louis Vincent, Abigail Green‐Saxena, Gina Barnes, Jana Hoffman, Jacob Calvert, Emily Pellegrini, Ritankar Das

    I whakaputaina 2020
    Whiwhi kuputuhi katoa
    Artigo
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