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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 well-studied. Between Apr...
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| Veröffentlicht in: | J Digit Imaging |
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| Hauptverfasser: | , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Springer International Publishing
2017
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5873468/ https://ncbi.nlm.nih.gov/pubmed/29079959 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s10278-017-0027-x |
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