Rezultati pretrage - Link, Nicholas
- Prikaz rezultata 1 – 14 od 14
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1908. Development of an Electronic Health Record Generated Alert for Prophylaxis Against Pneumocystis Jirovecii Pneumonia in the Setting of High-Dose Steroids od Goyal, Noopur, Gaskill, Eric, Sanders, Stephanie, Graves, Kencee, Benefield, Russell, ElHalta, David, Link, Nicholas C, Cariello, Paloma
Izdano 2018Tekst -
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Estimating the Cumulative Incidence of COVID-19 in the United States Using Four Complementary Approaches od Lu, Fred S., Nguyen, Andre T., Link, Nicholas B., Davis, Jessica T., Chinazzi, Matteo, Xiong, Xinyue, Vespignani, Alessandro, Lipsitch, Marc, Santillana, Mauricio
Izdano 2020Tekst -
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Estimating the cumulative incidence of COVID-19 in the United States using influenza surveillance, virologic testing, and mortality data: Four complementary approaches od Lu, Fred S., Nguyen, Andre T., Link, Nicholas B., Molina, Mathieu, Davis, Jessica T., Chinazzi, Matteo, Xiong, Xinyue, Vespignani, Alessandro, Lipsitch, Marc, Santillana, Mauricio
Izdano 2021Tekst -
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An Early Warning Approach to Monitor COVID-19 Activity with Multiple Digital Traces in Near Real-Time od Kogan, Nicole E., Clemente, Leonardo, Liautaud, Parker, Kaashoek, Justin, Link, Nicholas B., Nguyen, Andre T., Lu, Fred S., Huybers, Peter, Resch, Bernd, Havas, Clemens, Petutschnig, Andreas, Davis, Jessica, Chinazzi, Matteo, Mustafa, Backtosch, Hanage, William P., Vespignani, Alessandro, Santillana, Mauricio
Izdano 2020Tekst -
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An early warning approach to monitor COVID-19 activity with multiple digital traces in near real time od Kogan, Nicole E., Clemente, Leonardo, Liautaud, Parker, Kaashoek, Justin, Link, Nicholas B., Nguyen, Andre T., Lu, Fred S., Huybers, Peter, Resch, Bernd, Havas, Clemens, Petutschnig, Andreas, Davis, Jessica, Chinazzi, Matteo, Mustafa, Backtosch, Hanage, William P., Vespignani, Alessandro, Santillana, Mauricio
Izdano 2021Tekst -
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High-throughput multimodal automated phenotyping (MAP) with application to PheWAS od Liao, Katherine P, Sun, Jiehuan, Cai, Tianrun A, Link, Nicholas, Hong, Chuan, Huang, Jie, Huffman, Jennifer E, Gronsbell, Jessica, Zhang, Yichi, Ho, Yuk-Lam, Castro, Victor, Gainer, Vivian, Murphy, Shawn N, O’Donnell, Christopher J, Gaziano, J Michael, Cho, Kelly, Szolovits, Peter, Kohane, Isaac S, Yu, Sheng, Cai, Tianxi
Izdano 2019Tekst -
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Association of Interleukin 6 Receptor Variant With Cardiovascular Disease Effects of Interleukin 6 Receptor Blocking Therapy: A Phenome-Wide Association Study od Cai, Tianxi, Zhang, Yichi, Ho, Yuk-Lam, Link, Nicholas, Sun, Jiehuan, Huang, Jie, Cai, Tianrun A., Damrauer, Scott, Ahuja, Yuri, Honerlaw, Jacqueline, Huang, Jie, Costa, Lauren, Schubert, Petra, Hong, Chuan, Gagnon, David, Sun, Yan V., Gaziano, J. Michael, Wilson, Peter, Cho, Kelly, Tsao, Philip, O’Donnell, Christopher J., Liao, Katherine P.
Izdano 2018Tekst -
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Clinical knowledge extraction via sparse embedding regression (KESER) with multi-center large scale electronic health record data od Hong, Chuan, Rush, Everett, Liu, Molei, Zhou, Doudou, Sun, Jiehuan, Sonabend, Aaron, Castro, Victor M., Schubert, Petra, Panickan, Vidul A., Cai, Tianrun, Costa, Lauren, He, Zeling, Link, Nicholas, Hauser, Ronald, Gaziano, J. Michael, Murphy, Shawn N., Ostrouchov, George, Ho, Yuk-Lam, Begoli, Edmon, Lu, Junwei, Cho, Kelly, Liao, Katherine P., Cai, Tianxi
Izdano 2021Tekst -
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An application to support COVID-19 occupational health and patient tracking at a Veterans Affairs medical center od Fillmore, Nathanael R, Elbers, Danne C, La, Jennifer, Feldman, Theodore C, Sung, Feng-Chi, Hall, Robert B, Nguyen, Vinh, Link, Nicholas, Zwolinski, Robert, Dipietro, Svitlana, Miller, Stephen J, Aleksanyan, Anahit, Goryachev, Sergey D, Corcoran, Paul, Bergstrom, Steven J, Parenteau, Michael A, Sprague, Robert S, Thornton, David J, Driver, Jane A, Strymish, Judith M, Evans, Stewart, Colonna, Benjamin, Brophy, Mary T, Do, Nhan V
Izdano 2020Tekst -
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Corrigendum to: An Application to Support COVID-19 Occupational Health and Patient Tracking at a Veterans Affairs Medical Center od Fillmore, Nathanael R, Elbers, Danne C, La, Jennifer, Feldman, Theodore C, Sung, Feng-Chi, Hall, Robert B, Nguyen, Vinh, Link, Nicholas, Zwolinski, Robert, Dipietro, Svitlana, Miller, Stephen J, Aleksanyan, Anahit, Goryachev, Sergey D, Corcoran, Paul, Bergstrom, Steven J, Parenteau, Michael A, Sprague, Robert S, Thornton, David J, Driver, Jane A, Strymish, Judith M, Evans, Stewart, Colonna, Benjamin, Brophy, Mary T, Do, Nhan V
Izdano 2020Tekst -
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High-throughput phenotyping with electronic medical record data using a common semi-supervised approach (PheCAP) od Zhang, Yichi, Cai, Tianrun, Yu, Sheng, Cho, Kelly, Hong, Chuan, Sun, Jiehuan, Huang, Jie, Ho, Yuk-Lam, Ananthakrishnan, Ashwin N., Xia, Zongqi, Shaw, Stanley Y., Gainer, Vivian, Castro, Victor, Link, Nicholas, Honerlaw, Jacqueline, Huang, Selena, Gagnon, David, Karlson, Elizabeth W., Plenge, Robert M., Szolovits, Peter, Savova, Guergana, Churchill, Susanne, O’Donnell, Christopher, Murphy, Shawn N., Gaziano, J. Michael, Kohane, Isaac, Cai, Tianxi, Liao, Katherine P.
Izdano 2019Tekst