Extracting diagnoses and investigation results from unstructured text in electronic health records by semi-supervised machine learning.
<h4>Background</h4>Electronic health records are invaluable for medical research, but much of the information is recorded as unstructured free text which is time-consuming to review manually.<h4>Aim</h4>To develop an algorithm to identify relevant free texts automatically bas...
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| Auteurs principaux: | , , , , , |
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| Format: | article |
| Langue: | EN |
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Public Library of Science (PLoS)
2012
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| Sujets: | |
| Accès en ligne: | https://doaj.org/article/d17e9e6b6da44b479e895c355a40dd42 |
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