Exploring deep learning methods for recognizing rare diseases and their clinical manifestations from texts
Abstract 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 iden...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2022-07-01
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| Series: | BMC Bioinformatics |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12859-022-04810-y |