Natural language processing for prediction of readmission in posterior lumbar fusion patients: which free-text notes have the most utility?

The increasing volume of free-text notes available in electronic health records has created an opportunity for natural language processing (NLP) algorithms to mine this unstructured data in order to detect and predict adverse outcomes. Given the volume and diversity of documentation available in spine surgery, it remains unclear which types of documentation offer the greatest value for prediction of adverse outcomes.
Source: The Spine Journal - Category: Orthopaedics Authors: Source Type: research