Integrating Natural Language Processing and Machine Learning Algorithms to Categorize Oncologic Response in Radiology Reports.
A significant volume of medical data remains unstructured. Natural language processing (NLP) and machine learning (ML) techniques have shown to successfully extract insights from radiology reports. However, the codependent effects of NLP and ML in this context have not been wellstudied. Between Apri...
| Published in: | Journal of Digital Imaging Vol. 31; no. 2; pp. 178 - 185 |
|---|---|
| Main Authors: | , , , |
| Format: | research tables/charts Journal Article |
| Published: |
Springer Nature
Apr2018
|
| Online Access: | View this record in EBSCOhost |