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Study on the semi-supervised learning-based patient similarity from heterogeneous electronic medical records
BACKGROUND: A new learning-based patient similarity measurement was proposed to measure patients’ similarity for heterogeneous electronic medical records (EMRs) data. METHODS: We first calculated feature-level similarities according to the features’ attributes. A domain expert provided patient simil...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8323210/ https://www.ncbi.nlm.nih.gov/pubmed/34330261 http://dx.doi.org/10.1186/s12911-021-01432-x |