| Autor: |
Kalra, Andrew, Bachina, Preetham, Shou, Benjamin L., Hwang, Jaeho, Barshay, Meylakh, Kulkarni, Shreyas, Sears, Isaac, Eickhoff, Carsten, Bermudez, Christian A., Brodie, Daniel, Ventetuolo, Corey E., Kim, Bo Soo, Whitman, Glenn J.R., Abbasi, Adeel, Cho, Sung-Min, Kim, Bo Soo, Hager, David, Keller, Steven P., Bush, Errol L., Stephens, R. Scott, Khanduja, Shivalika, Kang, Jin Kook, Chinedozi, Ifeanyi David, Darby, Zachary, Rando, Hannah J., Brown, Trish, Kim, Jiah, Wilcox, Christopher, Leng, Albert, Geeza, Andrew, Akbar, Armaan F., Feng, Chengyuan Alex, Zhao, David, Sussman, Marc, Mendez-Tellez, Pedro Alejandro, Sun, Philip, Capili, Karlo, Riojas, Ramon, Alejo, Diane, Stephen, Scott, Flaster, Harry |
| Zdroj: |
JTCVS Open; 20240101, Issue: Preprints |
| Abstrakt: |
We aimed to determine if machine learning can predict acute brain injury and to identify modifiable risk factors for acute brain injury in patients receiving venoarterial extracorporeal membrane oxygenation. |
| Databáze: |
Supplemental Index |
| Externí odkaz: |
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