Publications by authors named "Marcus V Williams"
Objective: This paper evaluates the application of a natural language processing (NLP) model for extracting clinical text referring to interpersonal violence using electronic health records (EHRs) from a large mental healthcare provider.
Design: A multidisciplinary team iteratively developed guidelines for annotating clinical text referring to violence. Keywords were used to generate a dataset which was annotated (ie, classified as affirmed, negated or irrelevant) for: presence of violence, patient status (ie, as perpetrator, witness and/or victim of violence) and violence type (domestic, physical and/or sexual).
Article Synopsis
- The study aimed to evaluate the effectiveness of two predictive models, LACE and BOOST, in forecasting unplanned hospital readmissions among patients over 75 years old.
- Data from 110 older patients were analyzed, revealing a readmission rate of 32.7%, with both models showing higher scores in patients who were readmitted.
- The results indicated that while both models were statistically significant, they had poor predictive capabilities, with recent hospitalization noted as the most important predictor of readmission.