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Deep learning architectures for multi-label classification of intelligent health risk prediction
BACKGROUND: Multi-label classification of data remains to be a challenging problem. Because of the complexity of the data, it is sometimes difficult to infer information about classes that are not mutually exclusive. For medical data, patients could have symptoms of multiple different diseases at th...
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| Gepubliceerd in: | BMC Bioinformatics |
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| Hoofdauteurs: | , , , , , , , , |
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
BioMed Central
2017
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5751777/ https://ncbi.nlm.nih.gov/pubmed/29297288 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-017-1898-z |
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