ESTABLISHMENT OF MACHINE LEARNING-BASED RISK PREDICTION MODEL FOR ACUTE KIDNEY INJURY AFTER ACUTE MYOCARDIAL INFARCTION
Back
E-Poster
https://storage.unitedwebnetwork.com/files/1099/4b7dd015e94e6936ce225b4bae79ed95.pdf
Abstract Title
ESTABLISHMENT OF MACHINE LEARNING-BASED RISK PREDICTION MODEL FOR ACUTE KIDNEY INJURY AFTER ACUTE MYOCARDIAL INFARCTION
First Name *
Hong
Last Name *
Cheng
Co-author 1
Nan Ye yenan_66477@163.com Beijing Anzhen Hospital, Capital Medical University Renal Division Beijing
Co-author 2
Fengbo Xu xufengbo926@163.com Beijing Anzhen Hospital, Capital Medical University Renal Division Beijing
Co-author 3
Chuang Zhu czhu@bupt.edu.cn Beijing University of Posts and Telecommunications School of Artificial Intelligence Beijing
Co-author 4
Co-author 5
Co-author 6
Co-author 7
Co-author 8
Co-author 9
Co-author 10
Co-author 11
Co-author 12
Co-author 13
Co-author 14
Co-author 15
E-Poster Format Requirements
PDF file
Layout: Portrait (vertical orientation)
One page only (Dim A4: 210 x 297mm or PPT)
E-Poster can be prepared in PowerPoint (one (1) PowerPoint slide) but
must be saved and submitted as PDF file
.
File Size: Maximum file size is 2 Megabytes (2 MB)
No hyperlinks, animated images, animations, and slide transitions
Language: English
Include your abstract number
E-posters can include QR codes, tables and photos