Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Feng-Chi Sung"'
Autor:
Danne C. Elbers, Nathanael R. Fillmore, Feng-Chi Sung, Spyridon S. Ganas, Andrew Prokhorenkov, Christopher Meyer, Robert B. Hall, Samuel J. Ajjarapu, Daniel C. Chen, Frank Meng, Robert L. Grossman, Mary T. Brophy, Nhan V. Do
Publikováno v:
Patterns, Vol 1, Iss 6, Pp 100083- (2020)
Summary: The Veterans Affairs Precision Oncology Data Repository (VA-PODR) is a large, nationwide repository of de-identified data on patients diagnosed with cancer at the Department of Veterans Affairs (VA). Data include longitudinal clinical data f
Externí odkaz:
https://doaj.org/article/0b6ff21d29b243ada448593d08ea65f0
Autor:
Hernandez, Kyle M., Venkat, Aarti, Elbers, Danne C., Bihn, John R., Brophy, Mary T., Do, Nhan V., La, Jennifer, Qiong Liu, Prokhorenkov, Andrew, Metoki-Shlubsky, Noah, Feng-Chi Sung, Paller, Channing J., Fillmore, Nathanael R., Grossman, Robert L.
Publikováno v:
Cold Spring Harbor Molecular Case Studies; Dec2023, Vol. 9 Issue 4, p1-13, 13p
Autor:
Nhan V. DO, ELBERS, Danne C., FILLMORE, Nathanael R., AJJARAPU, Samuel, BERGSTROM, Steven J., BIHN, John, CORRIGAN, June K., DHOND, Rupali, DIPIETRO, Svitlana, DOLGIN, Arkadiy, FELDMAN, Theodore C., GORYACHEV, Sergey D., HUHMANN, Linden B., LA, Jennifer, MARCANTONIO, Paul A., MCGRATH, Kyle M., MILLER, Stephen J., Vinh Q. NGUYEN, SCHNEELOCH, George R., Feng-Chi SUNG
Publikováno v:
Studies in Health Technology & Informatics; 2023, Vol. 310, p1086-1090, 5p
Autor:
DO, Nhan V., ELBERS, Danne C., FILLMOREa, Nathanael R., AJJARAPU, Samuel, BERGSTROM, Steven J., BIHN, John, CORRIGAN, June K., DHOND, Rupali, DIPIETRO, Svitlana, DOLGIN, Arkadiy, FELDMAN, Theodore C., GORYACHEV, Sergey D., HUHMANN, Linden B., LA, Jennifer, MARCANTONIO, Paul A., MCGRATH, Kyle M., MILLER, Stephen J., NGUYEN, Vinh Q., SCHNEELOCH, George R., Feng-Chi SUNG
Publikováno v:
Medinfo; 2023, Vol. 310, p1086-1090, 5p
Autor:
Nicholas Link, Nathanael Fillmore, David J. Thornton, Svitlana Dipietro, Nhan Do, Jane A. Driver, Danne C. Elbers, Anahit Aleksanyan, Robert Zwolinski, Vinh T. Nguyen, Stewart Evans, Michael A Parenteau, Feng-Chi Sung, Judith Strymish, Mary Brophy, Theodore C. Feldman, Benjamin Colonna, Stephen J. Miller, Robert S Sprague, Robert B. Hall, Paul Corcoran, Jennifer La, Sergey Goryachev, Steven J Bergstrom
Publikováno v:
Journal of the American Medical Informatics Association : JAMIA
Journal of the American Medical Informatics Association
Journal of the American Medical Informatics Association
Objective Reducing risk of coronavirus disease 2019 (COVID-19) infection among healthcare personnel requires a robust occupational health response involving multiple disciplines. We describe a flexible informatics solution to enable such coordination
Autor:
Vinh T. Nguyen, Michael A Parenteau, Feng-Chi Sung, Judith Strymish, Nathanael Fillmore, Jane A. Driver, Theodore C. Feldman, Robert S Sprague, Steven J Bergstrom, Stewart Evans, Robert B. Hall, Robert Zwolinski, Stephen J. Miller, Svitlana Dipietro, Mary Brophy, Jennifer La, Sergey Goryachev, David J. Thornton, Nhan Do, Anahit Aleksanyan, Paul Corcoran, Danne C. Elbers, Benjamin Colonna, Nicholas Link
Publikováno v:
Journal of the American Medical Informatics Association : JAMIA
Journal of the American Medical Informatics Association
Journal of the American Medical Informatics Association
Objective Reducing risk of coronavirus disease 2019 (COVID-19) infection among healthcare personnel requires a robust occupational health response involving multiple disciplines. We describe a flexible informatics solution to enable such coordination
Autor:
Nhan Do, Spyridon S. Ganas, Nathanael Fillmore, Mary Brophy, Danne C. Elbers, Daniel Chen, Robert B. Hall, Robert L. Grossman, Frank Meng, Andrew Prokhorenkov, Christopher Meyer, Feng-Chi Sung, Samuel Ajjarapu
Publikováno v:
Patterns, Vol 1, Iss 6, Pp 100083-(2020)
Patterns
Patterns
Summary The Veterans Affairs Precision Oncology Data Repository (VA-PODR) is a large, nationwide repository of de-identified data on patients diagnosed with cancer at the Department of Veterans Affairs (VA). Data include longitudinal clinical data fr
Autor:
Kelly Gaynor, Colleen Shannon, Samuel Ajjarapu, Mary T. Brophy, Karen E. Pierce-Murray, Brett Johnson, Ayesha Rizwan Sheikh, Siamack Ayandeh, Danne Elbers, Nhan Do, Jamie Ramos-Cejudo, Nathanael Fillmore, Feng-Chi Sung, Corri Dedomenico, David Cheng, David P. Tuck, Sarah Schiller, Daniel Chen, Frank Meng, Robert B. Hall
Publikováno v:
Journal of Clinical Oncology. 37:109-109
109 Background: Machine learning tools based on EHR data hold promise to help avoid unnecessary risks associated with lung cancer and its treatment. Additionally, molecular genetic profiling is becoming an integral tool for clinicians to individualiz