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Constructing a knowledge-based heterogeneous information graph for medical health status classification

Applying Pearson correlation and semantic relations in building a heterogeneous information graph (HIG) to develop a classification model has achieved a notable performance in improving the accuracy of predicting the status of health risks. In this study, the approach that was used, integrated knowl...

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Detalhes bibliográficos
Publicado no:Health Inf Sci Syst
Main Authors: Pham, Thuan, Tao, Xiaohui, Zhang, Ji, Yong, Jianming
Formato: Artigo
Idioma:Inglês
Publicado em: Springer International Publishing 2020
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7021844/
https://ncbi.nlm.nih.gov/pubmed/32117570
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s13755-020-0100-6
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