Exploring deep learning methods for recognizing rare diseases and their clinical manifestations from texts
Background and objective: Although rare diseases are characterized by low prevalence, approximately 400 million people are affected by a rare disease. The early and accurate diagnosis of these conditions is a major challenge for general practitioners, who do not have enough knowledge to identify the...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
BioMed Central Ltd
2022
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| Subjects: | |
| Online Access: | View Fulltext in Publisher |