Search All UT System Experts

Predicting all-cause readmissions using electronic health record data from the entire hospitalization: Model development and comparison

Oanh Kieu Nguyen, Anil N. Makam, Christopher Clark, Song Zhang, Bin Xie, Ferdinand Velasco, Ruben Amarasingham, Ethan A. Halm

Research output: Contribution to journal › Article › peer-review

53 Scopus citations

Fingerprint

Dive into the research topics of 'Predicting all-cause readmissions using electronic health record data from the entire hospitalization: Model development and comparison'. Together they form a unique fingerprint.

Medicine & Life Sciences

Social Sciences