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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...
Gorde:
| Argitaratua izan da: | PLoS One |
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| Egile Nagusiak: | , |
| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
Public Library of Science
2020
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| Gaiak: | |
| Sarrera elektronikoa: | 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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