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Using machine learning for predicting cervical cancer from Swedish electronic health records by mining hierarchical representations
Electronic health records (EHRs) contain rich documentation regarding disease symptoms and progression, but EHR data is challenging to use for diagnosis prediction due to its high dimensionality, relative scarcity, and substantial level of noise. We investigated how to best represent EHR data for pr...
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| Pubblicato in: | PLoS One |
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| Autori principali: | , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Public Library of Science
2020
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7444577/ https://ncbi.nlm.nih.gov/pubmed/32822401 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0237911 |
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