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Labels in a haystack: Approaches beyond supervised learning in biomedical applications
Recent advances in biomedical machine learning demonstrate great potential for data-driven techniques in health care and biomedical research. However, this potential has thus far been hampered by both the scarcity of annotated data in the biomedical domain and the diversity of the domain's subf...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8672145/ https://www.ncbi.nlm.nih.gov/pubmed/34950904 http://dx.doi.org/10.1016/j.patter.2021.100383 |