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...

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Detalles Bibliográficos
Autores principales: Wang, Ni, Huang, Yanqun, Liu, Honglei, Zhang, Zhiqiang, Wei, Lan, Fei, Xiaolu, Chen, Hui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research
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

Internet

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

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