Artificial intelligence-driven structurization of diagnostic information in free-text pathology reports
Background: Free-text sections of pathology reports contain the most important information from a diagnostic standpoint. However, this information is largely underutilized for computer-based analytics. The vast majority of NLP-based methods lack a capacity to accurately extract complex diagnostic en...
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| Main Authors: | , , , , , , , , , , , , , |
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| Format: | Book |
| Published: |
Elsevier,
2020-01-01T00:00:00Z.
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| Subjects: | |
| Online Access: | Connect to this object online. |
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