Generating high-quality data abstractions from scanned clinical records: text-mining-assisted extraction of endometrial carcinoma pathology features as proof of principle
Objective Medical research studies often rely on the manual collection of data from scanned typewritten clinical records, which can be laborious, time consuming and error prone because of the need to review individual clinical records. We aimed to use text mining to assist with the extraction of cli...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMJ Publishing Group
2020-06-01
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| Series: | BMJ Open |
| Online Access: | https://bmjopen.bmj.com/content/10/6/e037740.full |