Boosting Delirium Identification Accuracy With Sentiment-Based Natural Language Processing: Mixed Methods Study.

Our machine learning model that included NLP (ie, sentiment analysis in medical image description text mining) produced valid identification of delirium with the sentiment analysis, providing significant additional benefit over the model without NLP.