Utilizing uncoded consultation notes from electronic medical records for predictive modeling of colorectal cancer
Conclusion It is possible to extract useful predictors from uncoded consultation notes that improve predictive performance. Techniques linking text to concepts in medical ontologies to derive these predictors are shown to perform best for predicting CRC in our EMR dataset.
Source: Artificial Intelligence in Medicine - Category: Bioinformatics Source Type: research
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