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2020 , Vol. 64 >Issue 12: 127 - 135

DOI: https://doi.org/10.13266/j.issn.0252-3116.2020.12.014

Research on Semantic Similarity of Diseases Based on Multidimensional

  • Zhang Junliang
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  • 1. School of Management, Xinxiang Medical University, Xinxiang 453003;
    2. Center for Health Information Resources, Xinxiang Medical University, Xinxiang 453003;
    3. Institutes of Health Central Plain, Xinxiang 453003

Received date: 2019-05-13

  Revised date: 2019-08-22

  Online published: 2020-06-20

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Abstract

[Purpose/significance] Aiming at different expression of disease knowledge, this paper proposes a comprehensive semantic similarity calculation scheme that integrates multi-dimension of disease.[Method/process] On the basis of integrating the characteristics of disease ontology and Medical Encyclopedia, the comprehensive semantic similarity, which consists of semantic similarity based on disease ontology and disease semantic similarity based on medical encyclopedia, was built. Semantic similarity of diseases based on medical encyclopedia was calculated by LDA, set theory and vector space model.[Result/conclusion] The results show that the proposed method can effectively reflect the semantic similarity of diseases. The comprehensive semantic similarity calculation scheme offers helpful reference for further research.

Key words： semantic similarity; disease ontology; disease encyclopedia; similarity measure

Cite this article

Zhang Junliang . Research on Semantic Similarity of Diseases Based on Multidimensional[J]. Library and Information Service, 2020 , 64(12) : 127 -135 . DOI: 10.13266/j.issn.0252-3116.2020.12.014

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