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 # BigBird for Mortality Prediction
 
-This model is Google's base BigBird model, fine-tuned on binary mortality prediction in MIMIC admission notes. Data prepared for 
-this task as described in [this project](https://github.com/bvanaken/clinical-outcome-prediction), using the simulated admission 
-notes (taken from discharge summaries). This model will be used in an upcoming submission for IMLH at ICML 2021.
+Starting with Google's base BigBird model, we fine-tuned on binary mortality prediction in MIMIC admission notes. This 
+model seeks to predict whether a certain patient will expire within a given ICU stay, based on the text available upon 
+admission. Data prepared for this task as described in [this project](https://github.com/bvanaken/clinical-outcome-prediction), 
+using the simulated admission notes (taken from discharge summaries). This model will be used in an upcoming submission for 
+IMLH at ICML 2021.
 
 ### References
 * Van Aken, et al., 2021: [Clinical Outcome Prediction from Admission Notes using Self-Supervised Knowledge Integration](https://www.aclweb.org/anthology/2021.eacl-main.75/)