The past twenty years have seen the increasingly important role of ontology in traditional Chinese medicine(TCM).However,the development of TCM ontology faces many challenges.Since the epistemologies dramatically diff...The past twenty years have seen the increasingly important role of ontology in traditional Chinese medicine(TCM).However,the development of TCM ontology faces many challenges.Since the epistemologies dramatically differ between TCM and contemporary biomedicine,it is hard to apply the existing top-level ontology mechanically.“Data silos”are widely present in the currently available terminology standards,term sets,and ontologies.The formal representation of ontology needs to be further improved in TCM.Therefore,we propose a unified basic semantic framework of TCM based on in-depth theoretical research on the existing top・level ontology and a re-study of important concepts in TCM.Under such a framework,ontologies in TCM subdomains should be built collaboratively and be represented formally in a common format.Besides,extensive cooperation should be encouraged by establishing ontology research communities to promote ontology peer review and reuse.展开更多
Objective Traditional Chinese medicine(TCM)prescriptions have been used to cure diseases in China for thousands of years,in which many TCM herbs have no definite common quantity.Some key TCM herbs are commonly used an...Objective Traditional Chinese medicine(TCM)prescriptions have been used to cure diseases in China for thousands of years,in which many TCM herbs have no definite common quantity.Some key TCM herbs are commonly used and thus deserve in-depth investigations based on a more acceptable classification method.This study analyzes whether TCM prescriptions follow Zipf's law and attempts to obtain the thresholds of key TCM herbs based on the application of Zipfs law;Methods A total of 84,418 TCM prescriptions were collected and standardized.We tested whether Zipf's law and Zipfs distribution fit the Chinese herb distributions.A linear fitting experiment was performed to verify the relationship between the frequency distribution and frequency of TCM herbs.Results The distribution of TCM herbs in TCM prescriptions conformed to Zipf's law.Accordingly,the thresholds were obtained for the key TCM herbs.Conclusion The distribution of TCM herbs in TCM prescriptions follows Zipfs law.展开更多
Objective The study of medicine formulas is a core component of traditional Chinese medicine(TCM),yet traditional learning methods often lack interactivity and contextual understanding,making it challenging for beginn...Objective The study of medicine formulas is a core component of traditional Chinese medicine(TCM),yet traditional learning methods often lack interactivity and contextual understanding,making it challenging for beginners to grasp the intricate composition rules of formulas.To address this gap,we introduce Formula-S,a situated visualization method for TCM formula learning in augmented reality(AR)and evaluate its performance.This study aims to evaluate the effectiveness of Formula-S in enhancing TCM formula learning for beginners by comparing it with traditional text-based formula learning and web-based visualization.Methods Formula-S is an interactive AR tool designed for TCM formula learning,featuring three modes(3D,Web,and Table).The dataset included TCM formulas and herb properties extracted from authoritative references,including textbook and the SymMap database.In Formula-S,the hierarchical visualization of the formulas as herbal medicine compositions,is linked to the multidimensional herb attribute visualization and embedded in the real world,where real herb samples are presented.To evaluate its effectiveness,a controlled study(n=30)was conducted.Participants who had no formal TCM knowledge were tasked with herbal medicine identification,formula composition,and recognition.In the study,participants interacted with the AR tool through HoloLens 2.Data were collected on both task performance(accuracy and response time)and user experience,with a focus on task efficiency,accuracy,and user preference across the different learning modes.Results The situated visualization method of Formula-S had comparable accuracy to other methods but shorter response time for herbal formula learning tasks.Regarding user experience,our new approach demonstrated the highest system usability and lowest task load,effectively reducing cognitive load and allowing users to complete tasks with greater ease and efficiency.Participants reported that Formula-S enhanced their learning experience through its intuitive interface and immersive AR environment,suggesting this approach offers usability advantages for TCM education.Conclusions The situated visualization method in Formula-S offers more efficient and accurate searching capabilities compared to traditional and web-based methods.Additionally,it provides superior contextual understanding of TCM formulas,making it a promising new solution for TCM learning.展开更多
文摘The past twenty years have seen the increasingly important role of ontology in traditional Chinese medicine(TCM).However,the development of TCM ontology faces many challenges.Since the epistemologies dramatically differ between TCM and contemporary biomedicine,it is hard to apply the existing top-level ontology mechanically.“Data silos”are widely present in the currently available terminology standards,term sets,and ontologies.The formal representation of ontology needs to be further improved in TCM.Therefore,we propose a unified basic semantic framework of TCM based on in-depth theoretical research on the existing top・level ontology and a re-study of important concepts in TCM.Under such a framework,ontologies in TCM subdomains should be built collaboratively and be represented formally in a common format.Besides,extensive cooperation should be encouraged by establishing ontology research communities to promote ontology peer review and reuse.
文摘Objective Traditional Chinese medicine(TCM)prescriptions have been used to cure diseases in China for thousands of years,in which many TCM herbs have no definite common quantity.Some key TCM herbs are commonly used and thus deserve in-depth investigations based on a more acceptable classification method.This study analyzes whether TCM prescriptions follow Zipf's law and attempts to obtain the thresholds of key TCM herbs based on the application of Zipfs law;Methods A total of 84,418 TCM prescriptions were collected and standardized.We tested whether Zipf's law and Zipfs distribution fit the Chinese herb distributions.A linear fitting experiment was performed to verify the relationship between the frequency distribution and frequency of TCM herbs.Results The distribution of TCM herbs in TCM prescriptions conformed to Zipf's law.Accordingly,the thresholds were obtained for the key TCM herbs.Conclusion The distribution of TCM herbs in TCM prescriptions follows Zipfs law.
文摘Objective The study of medicine formulas is a core component of traditional Chinese medicine(TCM),yet traditional learning methods often lack interactivity and contextual understanding,making it challenging for beginners to grasp the intricate composition rules of formulas.To address this gap,we introduce Formula-S,a situated visualization method for TCM formula learning in augmented reality(AR)and evaluate its performance.This study aims to evaluate the effectiveness of Formula-S in enhancing TCM formula learning for beginners by comparing it with traditional text-based formula learning and web-based visualization.Methods Formula-S is an interactive AR tool designed for TCM formula learning,featuring three modes(3D,Web,and Table).The dataset included TCM formulas and herb properties extracted from authoritative references,including textbook and the SymMap database.In Formula-S,the hierarchical visualization of the formulas as herbal medicine compositions,is linked to the multidimensional herb attribute visualization and embedded in the real world,where real herb samples are presented.To evaluate its effectiveness,a controlled study(n=30)was conducted.Participants who had no formal TCM knowledge were tasked with herbal medicine identification,formula composition,and recognition.In the study,participants interacted with the AR tool through HoloLens 2.Data were collected on both task performance(accuracy and response time)and user experience,with a focus on task efficiency,accuracy,and user preference across the different learning modes.Results The situated visualization method of Formula-S had comparable accuracy to other methods but shorter response time for herbal formula learning tasks.Regarding user experience,our new approach demonstrated the highest system usability and lowest task load,effectively reducing cognitive load and allowing users to complete tasks with greater ease and efficiency.Participants reported that Formula-S enhanced their learning experience through its intuitive interface and immersive AR environment,suggesting this approach offers usability advantages for TCM education.Conclusions The situated visualization method in Formula-S offers more efficient and accurate searching capabilities compared to traditional and web-based methods.Additionally,it provides superior contextual understanding of TCM formulas,making it a promising new solution for TCM learning.
