Using Natural Language Processing to Extract Abnormal Results From Cancer Screening Reports

Conclusions: Our study developed NLP models that accurately extract abnormal results from mammography and Pap smear reports. Plans include using NLP technology to generate real-time alerts and reminders for providers to facilitate timely follow-up of abnormal results.
Source: Journal of Patient Safety - Category: Health Management Tags: Original Articles Source Type: research