Psoriasis is a chronic,non-communicable,painful,disfiguring and disabling disease for which there is no cure,with great negative impact on patients’quality of life(QoL).Diagnosis and treatment with traditional Chines...Psoriasis is a chronic,non-communicable,painful,disfiguring and disabling disease for which there is no cure,with great negative impact on patients’quality of life(QoL).Diagnosis and treatment with traditional Chinese medical technique based on syndrome differentiation has been used in practice for a long time and proven effective,though,up to now,there are only a few available studies about the use of semantic technologies and the knowledge systems that use Traditional Chinese Medicine(TCM)-syndrome differentiation for information retrieval and automated reasoning.In this paper we use semantic techniques based on ontologies to develop a prototypical system for the diagnosis of Psoriasis.For this purpose,a domain ontology is developed for syndrome differentiation of psoriasis vulgaris(PV).This ontology is founded on an adapted version of the general formal ontology(GFO),with the evidence-based clinical practice guideline of TCM for psoriasis vulgaris(Guideline 2013)as the primary data sources.The implemented prototype,called ONTOPV,contains this domain ontology and is aimed at a decision support system for diagnosis and treatment of PV.This system uses a case-database for Case Based Reasoning(CBR),combined with fuzzy pattern recognition.Experimental results show that the ONTOPV realizes the basic functionalities of data collection,querying,browsing and navigation,and supports rule-based knowledge reasoning,and integrates fuzzy pattern recognition.It can provide users with clinical decision support for TCM syndrome differentiation in diagnosis of psoriasis.展开更多
Objective:To keep up with the progress of treatment for myopia in traditional Chinese medicine(TCM)through literature research,so as to determine data source of TCM diagnosis and treatment for myopia,from which entiti...Objective:To keep up with the progress of treatment for myopia in traditional Chinese medicine(TCM)through literature research,so as to determine data source of TCM diagnosis and treatment for myopia,from which entities are extracted for integration of relevant knowledge,and further formal expression and visualization of knowledge.Methods:Literature research and comparative analysis were used to determine the data source,and the 7-step method of constructing ontology was referred to for extraction of TCM diagnosis and treatment entities,which then was terminalized for development of classes and class hierarchy,and class properties,as well as creation of instances before consistency test of the ontology.Results:The ontology of TCM diagnosis and treatment for myopia includes 26 classes and 124 instances,9 object properties,and 1 data property.Conclusion:The combination of ontology technology and TCM diagnosis and treatment knowledge of myopia contributes to the construction of a knowledge base of TCM diagnosis and treatment ontology for myopia,which realizes formal expression and visualization of relevant TCM knowledge,lays a foundation for the construction of TCM top-level ontology and ophthalmology ontology,and facilitates knowledge reusing and sharing.展开更多
基金This work was partially supported by the National Natural Science Foundation of China(No.82174534)the China Academy of Chinese Medical Sciences Innovation Fund(No.CI2021A05306)the Fundamental Research Funds for the Central Public Welfare Research Institutes(Nos.ZZ13-YQ-021,ZZ13-YQ-126,ZZ150314).
文摘Psoriasis is a chronic,non-communicable,painful,disfiguring and disabling disease for which there is no cure,with great negative impact on patients’quality of life(QoL).Diagnosis and treatment with traditional Chinese medical technique based on syndrome differentiation has been used in practice for a long time and proven effective,though,up to now,there are only a few available studies about the use of semantic technologies and the knowledge systems that use Traditional Chinese Medicine(TCM)-syndrome differentiation for information retrieval and automated reasoning.In this paper we use semantic techniques based on ontologies to develop a prototypical system for the diagnosis of Psoriasis.For this purpose,a domain ontology is developed for syndrome differentiation of psoriasis vulgaris(PV).This ontology is founded on an adapted version of the general formal ontology(GFO),with the evidence-based clinical practice guideline of TCM for psoriasis vulgaris(Guideline 2013)as the primary data sources.The implemented prototype,called ONTOPV,contains this domain ontology and is aimed at a decision support system for diagnosis and treatment of PV.This system uses a case-database for Case Based Reasoning(CBR),combined with fuzzy pattern recognition.Experimental results show that the ONTOPV realizes the basic functionalities of data collection,querying,browsing and navigation,and supports rule-based knowledge reasoning,and integrates fuzzy pattern recognition.It can provide users with clinical decision support for TCM syndrome differentiation in diagnosis of psoriasis.
基金supported by the CACMS Innovation Fund(C12021A05210)Basic Research Funds of Research Institutes(JY202401-2005CB523504)+1 种基金National Natural Science Foundation of China(82305440)Basic Research Funds of Research Institutes(ZZ13-YQ-131,ZZ15-YQ-074).
文摘Objective:To keep up with the progress of treatment for myopia in traditional Chinese medicine(TCM)through literature research,so as to determine data source of TCM diagnosis and treatment for myopia,from which entities are extracted for integration of relevant knowledge,and further formal expression and visualization of knowledge.Methods:Literature research and comparative analysis were used to determine the data source,and the 7-step method of constructing ontology was referred to for extraction of TCM diagnosis and treatment entities,which then was terminalized for development of classes and class hierarchy,and class properties,as well as creation of instances before consistency test of the ontology.Results:The ontology of TCM diagnosis and treatment for myopia includes 26 classes and 124 instances,9 object properties,and 1 data property.Conclusion:The combination of ontology technology and TCM diagnosis and treatment knowledge of myopia contributes to the construction of a knowledge base of TCM diagnosis and treatment ontology for myopia,which realizes formal expression and visualization of relevant TCM knowledge,lays a foundation for the construction of TCM top-level ontology and ophthalmology ontology,and facilitates knowledge reusing and sharing.
