Hasil Pencarian - Jeffrey N Chiang

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  1. 1
    Automated large-scale prediction of exudative AMD progression using machine-read OCT biomarkers

    Automated large-scale prediction of exudative AMD progression using machine-read OCT biomarkers oleh Akos Rudas, Jeffrey N. Chiang, Giulia Corradetti, Nadav Rakocz, Oren Avram, Eran Halperin, Srinivas R. Sadda

    Diterbitkan 2023-02-01
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  2. 2
    Automated large-scale prediction of exudative AMD progression using machine-read OCT biomarkers.

    Automated large-scale prediction of exudative AMD progression using machine-read OCT biomarkers. oleh Akos Rudas, Jeffrey N Chiang, Giulia Corradetti, Nadav Rakocz, Oren Avram, Eran Halperin, Srinivas R Sadda

    Diterbitkan 2023-02-01
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  3. 3
    Imputation of the continuous arterial line blood pressure waveform from non-invasive measurements using deep learning

    Imputation of the continuous arterial line blood pressure waveform from non-invasive measurements using deep learning oleh Brian L. Hill, Nadav Rakocz, Ákos Rudas, Jeffrey N. Chiang, Sidong Wang, Ira Hofer, Maxime Cannesson, Eran Halperin

    Diterbitkan 2021-08-01
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  4. 4
    Predicting in‐hospital mortality among patients admitted with a diagnosis of heart failure: a machine learning approach

    Predicting in‐hospital mortality among patients admitted with a diagnosis of heart failure: a machine learning approach oleh Zina Jawadi, Rosemary He, Pratyaksh K. Srivastava, Gregg C. Fonarow, Suzan O. Khalil, Srikanth Krishnan, Eleazar Eskin, Jeffrey N. Chiang, Ali Nsair

    Diterbitkan 2024-10-01
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  5. 5
    Methylation risk scores are associated with a collection of phenotypes within electronic health record systems

    Methylation risk scores are associated with a collection of phenotypes within electronic health record systems oleh Mike Thompson, Brian L. Hill, Nadav Rakocz, Jeffrey N. Chiang, Daniel Geschwind, Sriram Sankararaman, Ira Hofer, Maxime Cannesson, Noah Zaitlen, Eran Halperin

    Diterbitkan 2022-08-01
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  6. 6
    Author Correction: Neural complexity is a common denominator of human consciousness across diverse regimes of cortical dynamics

    Author Correction: Neural complexity is a common denominator of human consciousness across diverse regimes of cortical dynamics oleh Joel Frohlich, Jeffrey N. Chiang, Pedro A. M. Mediano, Mark Nespeca, Vidya Saravanapandian, Daniel Toker, John Dell’Italia, Joerg F. Hipp, Shafali S. Jeste, Catherine J. Chu, Lynne M. Bird, Martin M. Monti

    Diterbitkan 2023-01-01
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  7. 7
    Author Correction: Neural complexity is a common denominator of human consciousness across diverse regimes of cortical dynamics

    Author Correction: Neural complexity is a common denominator of human consciousness across diverse regimes of cortical dynamics oleh Joel Frohlich, Jeffrey N. Chiang, Pedro A. M. Mediano, Mark Nespeca, Vidya Saravanapandian, Daniel Toker, John Dell’Italia, Joerg F. Hipp, Shafali S. Jeste, Catherine J. Chu, Lynne M. Bird, Martin M. Monti

    Diterbitkan 2023-01-01
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  8. 8
    Neural complexity is a common denominator of human consciousness across diverse regimes of cortical dynamics

    Neural complexity is a common denominator of human consciousness across diverse regimes of cortical dynamics oleh Joel Frohlich, Jeffrey N. Chiang, Pedro A. M. Mediano, Mark Nespeca, Vidya Saravanapandian, Daniel Toker, John Dell’Italia, Joerg F. Hipp, Shafali S. Jeste, Catherine J. Chu, Lynne M. Bird, Martin M. Monti

    Diterbitkan 2022-12-01
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  9. 9
    Automated identification of clinical features from sparsely annotated 3-dimensional medical imaging

    Automated identification of clinical features from sparsely annotated 3-dimensional medical imaging oleh Nadav Rakocz, Jeffrey N. Chiang, Muneeswar G. Nittala, Giulia Corradetti, Liran Tiosano, Swetha Velaga, Michael Thompson, Brian L. Hill, Sriram Sankararaman, Jonathan L. Haines, Margaret A. Pericak-Vance, Dwight Stambolian, Srinivas R. Sadda, Eran Halperin

    Diterbitkan 2021-03-01
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  10. 10
    A machine learning algorithm to increase COVID-19 inpatient diagnostic capacity.

    A machine learning algorithm to increase COVID-19 inpatient diagnostic capacity. oleh David Goodman-Meza, Akos Rudas, Jeffrey N Chiang, Paul C Adamson, Joseph Ebinger, Nancy Sun, Patrick Botting, Jennifer A Fulcher, Faysal G Saab, Rachel Brook, Eleazar Eskin, Ulzee An, Misagh Kordi, Brandon Jew, Brunilda Balliu, Zeyuan Chen, Brian L Hill, Elior Rahmani, Eran Halperin, Vladimir Manuel

    Diterbitkan 2020-01-01
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  11. 11
    Pre-existing conditions in Hispanics/Latinxs that are COVID-19 risk factors

    Pre-existing conditions in Hispanics/Latinxs that are COVID-19 risk factors oleh Timothy S. Chang, Yi Ding, Malika K. Freund, Ruth Johnson, Tommer Schwarz, Julie M. Yabu, Chad Hazlett, Jeffrey N. Chiang, David A. Wulf, Daniel H. Geschwind, Manish J. Butte, Bogdan Pasaniuc, Anna L. Antonio, Maryam Ariannejad, Angela M. Badillo, Brunilda Balliu, Yael Berkovich, Michael Broudy, Tony Dang, Chris Denny, Eleazar Eskin, Eran Halperin, Brian L. Hill, Ankur Jain, Vivek Katakwar, Clara Lajonchere, Clara Magyar, Sheila Minton, Ghouse Mohammed, Ariff Muhamed, Pabba Pavan, Michael A. Pfeffer, Nadav Rakocz, Akos Rudas, Rey Salonga, Timothy J. Sanders, Paul Tung, Vu Vu, Ailsa Zheng

    Diterbitkan 2021-03-01
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