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Persistent severe acute kidney injury is a major modifiable determinant of outcome during critical illness Gomez, Hernando; Chen, Xinlei; Minturn, John S.; Saraiva, Ivan E.; Hamahata, Natsumi; Zaidi, Arsalan; Sakhuja, Ankit; Chang, Chung-Chou H.; Clermont, Gilles; Zarbock, Alexander; Kellum, John A. Share Save
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Parsimonious waveform-derived features consisting of pulse arrival time and heart rate variability predicts the onset of septic shock Soliman, Moamen M.; Marshall, Curtis; Kimball, Jacob P.; Choudhary, Tilendra; Clermont, Gilles; Pinsky, Michael R.; Buchman, Timothy G.; Coopersmith, Craig M.; Inan, Omer T.; Kamaleswaran, Rishikesan Share Save
Use of artificial intelligence in critical care: opportunities and obstacles Pinsky, Michael R.; Bedoya, Armando; Bihorac, Azra; Celi, Leo; Churpek, Matthew; Economou-Zavlanos, Nicoleta J.; Elbers, Paul; Saria, Suchi; Liu, Vincent; Lyons, Patrick G.; Shickel, Benjamin; Toral, Patrick; Tscholl, David; Clermont, Gilles Share Save
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Pathophysiological Responses to Bloodstream Infection in Critically Ill Transplant Recipients Compared With Non-Transplant Recipients Qiu, Jiaxing; Zimmet, Alex N.; Bell, Taison D.; Gadrey, Shrirang; Brandberg, Jackson; Maldonado, Samuel; Zimmet, Amanda M.; Ratcliffe, Sarah; Chernyavskiy, Pavel; Moorman, J. Randall; Clermont, Gilles; Henry, Teague R.; Nguyen, N. Rich; Moore, Christopher C. Share Save
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Machine learning for ECG diagnosis and risk stratification of occlusion myocardial infarction Al-Zaiti, Salah S.; Martin-Gill, Christian; Zegre-Hemsey, Jessica K.; Bouzid, Zeineb; Faramand, Ziad; Alrawashdeh, Mohammad O.; Gregg, Richard E.; Helman, Stephanie; Riek, Nathan T.; Kraevsky-Phillips, Karina; Clermont, Gilles; Akcakaya, Murat; Sereika, Susan M.; Van Dam, Peter; Smith, Stephen W.; Birnbaum, Yochai; Saba, Samir; Sejdic, Ervin; Callaway, Clifton W. Share Save
Predicting Mortality Using Machine Learning Algorithms in Patients Who Require Renal Replacement Therapy in the Critical Care Unit Chang, Hsin-Hsiung; Chiang, Jung-Hsien; Wang, Chi-Shiang; Chiu, Ping-Fang; Abdel-Kader, Khaled; Chen, Huiwen; Siew, Edward D.; Yabes, Jonathan; Murugan, Raghavan; Clermont, Gilles; Palevsky, Paul M.; Jhamb, Manisha Share Save
Neurocritical Care Performance Measures Derived from Electronic Health Record Data are Feasible and Reveal Site-Specific Variation: A CHoRUS Pilot Project Ack, Sophie E.; Loiseau, Shamelia Y.; Sharma, Guneeti; Goldstein, Joshua N.; Lissak, India A.; Duffy, Sarah M.; Amorim, Edilberto; Vespa, Paul; Moorman, Joseph Randall; Hu, Xiao; Clermont, Gilles; Park, Soojin; Kamaleswaran, Rishikesan; Foreman, Brandon P.; Rosenthal, Eric S. Share Save
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