Patient Severity Prediction - Mutlivariate Time Series Data
Enhance hospital decision-making in patient care by constructing a predictive model using time-series data and radiology reports to forecast intracerebral hemorrhage outcomes. The XGBoost-based model achieved an accuracy of 74.11% and precision of 75.51%, demonstrating its capacity to identify high-risk patients. Data collection was sourced from PubMed.
Apr 20, 2023
