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Fig. 3 | BMC Medical Informatics and Decision Making

Fig. 3

From: Integrating structured and unstructured data for predicting emergency severity: an association and predictive study using transformer-based natural language processing models

Fig. 3

Receiver Operating Characteristic (ROC) curves for the four models evaluated in the study. Each model include the structured data model, which uses only structured data such as patient demographics, visit characteristics, vital signs, and medical history; the unstructured data model, a BERT-based natural language processing (NLP) model that uses only unstructured data, including chief complaints and reasons for injury; the combined input model, a machine learning classification model that integrates both structured data and BERT-extracted features from the unstructured data; and the mean probability model, which averages the predicted probabilities from the structured data model and the unstructured data model

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