Strategies to Address the Lack of Labeled Data for Supervised Machine Learning Training With Electronic Health Records: Case Study for the Extraction of Symptoms From Clinical Notes
BackgroundAutomated extraction of symptoms from clinical notes is a challenging task owing to the multidimensional nature of symptom description. The availability of labeled training data is extremely limited owing to the nature of the data containing protected health informa...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
JMIR Publications
2022-03-01
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| Series: | JMIR Medical Informatics |
| Online Access: | https://medinform.jmir.org/2022/3/e32903 |