Mining Symptom-Herb Patterns from Patient Records Using Tripartite Graph

المؤلفون المشاركون

Poon, Simon
Sze, Daniel Man-yuen
Poon, Josiah
Chen, Jinpeng
Xu, Ling

المصدر

Evidence-Based Complementary and Alternative Medicine

العدد

المجلد 2015، العدد 2015 (31 ديسمبر/كانون الأول 2015)، ص ص. 1-14، 14ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2015-06-08

دولة النشر

مصر

عدد الصفحات

14

التخصصات الرئيسية

الطب البشري

الملخص EN

Unlike the western medical approach where adrug is prescribed against specific symptoms of patients,traditional Chinese medicine (TCM) treatment has a uniquestep, which is called syndrome differentiation (SD).

It is arguedthat SD is considered as patient classification because priorto the selection of the most appropriate formula from a setof relevant formulae for personalization, a practitioner hasto label a patient belonging to a particular class (syndrome)first.

Hence, to detect the patterns between herbs and symptomsvia syndrome is a challenging problem; finding thesepatterns can help prepare a prescription that contributes tothe efficacy of a treatment.

In order to highlight this uniquetriangular relationship of symptom, syndrome, and herb, wepropose a novel three-step mining approach.

It first startswith the construction of a heterogeneous tripartite informationnetwork, which carries richer information.

The second step isto systematically extract path-based topological features fromthis tripartite network.

Finally, an unsupervised method is usedto learn the best parameters associated with different featuresin deciding the symptom-herb relationships.

Experiments havebeen carried out on four real-world patient records (Insomnia, Diabetes, Infertility, and Tourette syndrome) with comprehensivemeasurements.

Interesting and insightful experimental resultsare noted and discussed.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

Chen, Jinpeng& Poon, Josiah& Poon, Simon& Xu, Ling& Sze, Daniel Man-yuen. 2015. Mining Symptom-Herb Patterns from Patient Records Using Tripartite Graph. Evidence-Based Complementary and Alternative Medicine،Vol. 2015, no. 2015, pp.1-14.
https://search.emarefa.net/detail/BIM-1061502

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

Chen, Jinpeng…[et al.]. Mining Symptom-Herb Patterns from Patient Records Using Tripartite Graph. Evidence-Based Complementary and Alternative Medicine No. 2015 (2015), pp.1-14.
https://search.emarefa.net/detail/BIM-1061502

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

Chen, Jinpeng& Poon, Josiah& Poon, Simon& Xu, Ling& Sze, Daniel Man-yuen. Mining Symptom-Herb Patterns from Patient Records Using Tripartite Graph. Evidence-Based Complementary and Alternative Medicine. 2015. Vol. 2015, no. 2015, pp.1-14.
https://search.emarefa.net/detail/BIM-1061502

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-1061502