FineEHR: Refine Clinical Note Representations to Improve Mortality Prediction

Understand

Monitoring the health status of patients in the Intensive Care Unit (ICU) is a critical aspect of providing superior care and treatment.

• The availability of large-scale electronic health records (EHR) provides machine learning models with an abundance of clinical text and vital sign data, enabling them to make highly accurate predictions.
• Despite the emergence of advanced Natural Language Processing (NLP) algorithms for clinical note analysis, the complex textual structure and noise present in raw clinical data have posed significant challenges.
• Coarse embedding approaches without domain-specific refinement have limited the accuracy of these algorithms.