The in-depth exploration and development of knowledge organization methodologies tailored to the unique characteristics of traditional Chinese medicine (TCM) has become a pivotal issue in advancing the modernization of TCM knowledge systems and fostering scientific innovation. Through systematic review and analysis of existing TCM knowledge organization research, this study identifies current limitations. It proposes exploring integrated approaches for integrating ancient and contemporary TCM knowledge within existing classical text repositories, constructing theoretical knowledge bases, conducting ontological mapping studies between historical and modern TCM knowledge, and developing efficient human-machine collaborative annotation methods to build knowledge graphs. These initiatives aim to provide actionable strategies for optimizing TCM knowledge organization frameworks.

Objective By applying data mining technology, this study collects, organizes, and researches the ancient prescriptions for treating palpitations in the “Chinese Formula Database”, analyzes their medication rules, and provides references for modern clinical medication and new drug research and development. Methods First, the medical records related to palpitations in the database were screened, and a Microsoft Excel dataset was created. Then, the”Ancient and Modern Medical Case Cloud Platform” was used to conduct frequency statistics on the drugs, as well as their properties, flavors, meridian tropisms and efficacies. Finally, IBM SPSS Modeler 18.0 and IBM SPSS Statistics 25 data-processing software were applied to perform association rule analysis and cluster analysis on high-frequency drugs (frequency$>100$, rate$> 0.85 \%$), so as to explore the compatibility rules among them. Results A total of$\mathbf{1, 1 5 7}$prescriptions were included, involving 639 kinds of drugs. Renshen had the highest frequency of use; drugs with warm property and sweet flavor were used most frequently; drugs that enter the spleen meridian were the most common; and drugs with the effect of calming the mind and improving intelligence had the highest frequency of use. Through association rule analysis and cluster analysis,$\mathbf{1 5}$groups of core drug pairs and 4 groups of core drug combinations were obtained. Conclusion Most ancient prescriptions for treating palpitations adopt four therapeutic approaches: promoting fluid production and nourishing blood, replenishing qi and consolidating the root, simultaneous treatment of the heart and spleen, and drying dampness and resolving phlegm. These approaches accurately correspond to the core pathogeneses of palpitations, namely, malnutrition of the heart spirit, deficiency of qi and blood, and phlegm stasis disturbing the heart.

Objective To systematically evaluate and analyze the prescriptions for treating Xiongbi (Chest Bi-Syndrome) in ancient Traditional Chinese Medicine (TCM) books by integrating evidence-based valuation of ancient TCM literature and data mining methods. Methods First, the screened vidence of TCM prescriptions for Xiongbi from ancient books was evaluated and graded using the Evaluation and Grading Scale for Evidence of Disease Prevention and Treatment in Ancient TCM Books. For high-level evidence, the “Ancient and Modern Medical Records Cloud Platform” was applied to analyze indicators including drug use frequency, efficacy categories, nature, taste, and meridian tropism of drugs. Additionally, association rule analysis and cluster analysis were conducted. Results A total of 155 pieces of evidence from ancient TCM books for treating Xiongbi were finally included. Through evaluation, 31 prescriptions (e.g., Renshen Decoction, Fuling Xingren Gancao Decoction, Gualou Xiebai Banxia Decoction) were identified as high-level evidence. Data mining results showed that, among the high-level evidence for Xiongbi treatment in ancient books, the main drug efficacies were dispelling cold to relieve pain, tonifying fire to support yang, and warming and unblocking meridians; warm-natured drugs were most frequently used; pungent was the dominant taste of drugs; and the spleen meridian was the primary meridian tropism. Association rule analysis revealed that Cinnamomi Cortex (cinnamon) was a common drug for treating Xiongbi with heart pain, and the “Ginseng-Cinnamomi Cortex” pair was the most frequently used drug combination for Xiongbi. Cluster analysis yielded 4 core prescription groups, each reflecting distinct treatment strategies. Conclusion This study conducts quality evaluation and in-depth mining analysis of prescriptions for Xiongbi in ancient TCM books using evidence-based evaluation of ancient TCM literature and data mining. The results not only provide more reliable evidence from ancient books for the clinical treatment of Xiongbi in TCM but also offer sufficient ancient book-based evidence support for the formulation of TCM clinical decisions.

Objective: By comparing the medical cases of the renowned traditional Chinese medicine (TCM) practitioner Yu Ying-ao with the original patterns of primary epilepsy in ancient medical records, this study aims to explore reference pathways for the inheritance and innovation of the experiences of renowned TCM practitioners. Method: The Jaccard similarity comparison method is utilized for multi-dimensional comparison and analysis. This involves comparing the associations between syndromes and medications, treatment principles, collections of Chinese medicines, categorization of Chinese medicine effects, and similarities and differences in meridian tropisms in the medical cases of Yu Ying-ao with those of ancient primary epilepsy treatments. Result: In terms of treatment, Yu Ying-ao inherited the basic principle of “resolving phlegm and calming” in ancient medical records, the overall approach to treatment should focus on suppressing seizures and stopping epilepsy, as well as transforming phlegm and unblocking collaterals. The specific treatment varies depending on the condition, with options such as calming the spirit, strengthening the spleen, adjusting the liver, moisturizing the intestines, nvigorating spleen- stomach, and replenishing qi. In terms of core TCM formulas, a comparison with ancient medical records reveals that the essential TCM combinations for the syndrome of phlegm- heat disturbing the spirit, as identified by Yu Ying-ao, are more refined. Both formulas include (Dannanxing), (Baifu), (Yujin), (Danshen), And (Zhuru). In terms of the scope of medication, the frequently used drugs in ancient medical records are mostly those that are highly used in clinical practice by Yu Ying-ao. In terms of efficacy, there has been a high degree of continuity, with both ancient and modern times valuing the use of phlegm- eliminating, heat- clearing, calming, qi regulating, and tonifying vacuity medications. However, Yu Ying-ao tends to emphasize the use of Activating blood stasis and suppressing liver- yang medications in his clinical practice. From the perspective of TCM meridian tropism, ancient medical records most frequently mentioned lung meridian as the primary meridian for TCM prescriptions, followed by spleen, heart, and liver meridians. In the medical cases of Yu Ying-ao, liver meridian was the most frequently mentioned as the meridian for TCM prescriptions, followed by lung, heart, and spleen meridians. Conclusion: Through multidimensional comparative analysis of the composition of core TCM medicines, treatment principles and methods, collections of TCM medicines, categorization of TCM medicine effects, and meridian tropism, reference pathways can be provided for the inheritance and innovation of experienced TCM practitioners.

Vision-based future vehicle localization provides intuitive trajectory prediction, serving as a critical foundation for Advanced Driving Assistance Systems (ADAS) to formulate collision avoidance decisions. Among existing approaches, ego-view trajectory prediction has proven effective for driver monitoring and intervention in vision-based localization. This method aligns closely with human perceptual processing, making it essential for the Driver-in-the-Loop (DIL) development stage in modern ADAS. However, most existing ego-view trajectory prediction approaches rely on two-dimensional image-based predictions, creating a gap with human three-dimensional perception. This disparity negatively impacts the accuracy and timeliness of driver decision-making and intervention. In this paper, we propose MFV3DL (Monocular Vision Method for Future Vehicle 3D Localization), a dual-stream framework integrating 2D image trajectory prediction and depth prediction to achieve future vehicle 3D localization. To enhance accuracy, we leverage Multi-Object Tracking and Segmentation (MOTS) results and depth estimation as inputs for the dual-stream architecture. Additionally, we introduce a Related Information Fusion (RIF) unit to enable cross-modal interaction between the two streams. For depth stream predictions, we propose a ConvLSTM-based depth prediction method. Experimental results on the KITTI dataset demonstrate that MFV3DL outperforms state-of-the-art methods. In diverse driving scenarios, MFV3DL achieves superior 3D visualization results compared to 2D trajectory-based predictions. Baseline comparisons and ablation studies further validate that the proposed ConvLSTM-based depth prediction enhances the dual-stream architecture and RIF unit for 3D localization tasks.

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 seven-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 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.

Objective To provide theoretical basis and data support for the treatment of Xiongbi by analyzing the compatibility and application rules of treating Xiongbi in traditional Chinese medicines (TCMs) based on data mining. Methods Chinese herbal formulas for Xiongbi were searched in the "Chinese formula database" and collected. The usage frequency, efficacy category, and nature and flavour attribution of each medicine in the prescriptions were statistically analyzed. The association rules and clustering analysis were conducted for those Chinese medicines with a usage frequency above 10% by using the IBM SPSS Modeler 18.0 and SPSS Statistics 27 data-processing software. Results A total of 455 prescriptions for Xiongbi in TCM classics were obtained in this study, involving 324 flavors of Chinese medicines, 15 of them had a frequency of use above 10%. The top three medicine ranked according to the frequency were Rougui (170 times), Gancao (128 times), and Danggui (121 times).The efficacy of the drug is based on dispersing cold and relieving pain, tonifying fire to help Yang, and moistening the bowels to relieve constipation;In addition, our results indicated that the main medicine treating Xiongbi belongs to the mild on medicinal property, which were pungent taste and entering the spleen meridian. Association rule analysis showed that Rougui was the core medicine, and the compatibility of "Ganjiang, Rougui" was the core drug pair of medicines for the treatment of Xiongbi. Three potential new prescriptions were obtained from the cluster analysis, each reflecting a different therapeutic idea. Conclusion Rougui was the core medicine in the Xiongbi treatment, the core drug pair of medicines was "Ganjiang, Rougui". Accordingly, Tongyang Sanjie, Zaoshihuatan and Xinpitongzhi are the core ideas of Chinese medicine in treating Xiongbi.

Objective: By comparing the medical records of the famous doctor Yan Xiaocheng with the diagnosis and treatment patterns of ancient epilepsy medical records, this paper explores the discovery model in the process of collating the experience of the famous traditional Chinese medicine doctor. Method: The Jaccard similarity comparison method was used for multi-dimensional comparative analysis to compare the medical records of Yan Xiaocheng with the ancient medical records in terms of syndrome-drug association, treatment principles and methods, Chinese medicine collections, drug efficacy classification, and drug meridians.Result: In terms of treatment, Yan Xiaocheng inherited the basic principle of "resolving phlegm, calming the liver and calming the wind" in ancient medical records, and paid more attention to calming the mind and tranquilizing the nerves in clinical practice. In terms of the range of medication, the high-frequency medications in ancient medical records are also the high-frequency medications used in Yan Xiaocheng's clinical practice. In terms of the meridians of medicine, the most frequent meridian of medicine in ancient medical records is the lung meridian. The highest meridian for Yan Xiaocheng's medicine is the liver meridian. In terms of efficacy, both ancient and modern times have emphasized the use of expectorant medicine, heat-clearing medicine and tranquilizers, but Yan Xiaocheng clinical more emphasis on the use of wind-stopping and spasmodic medicine, diaphoretic medicine and resuscitation-inducing medicine. Conclusion: By conducting multi-dimensional comparative analysis of syndrome-medicine associations, treatment principles and methods, Chinese medicine collections, medicine efficacy classifications, and drug meridians, we can provide an effective path for the inheritance and innovation of the experience of famous traditional Chinese medicine practitioners.

Objective To address the issues in named entity recognition (NER) in the field of traditional Chinese medicine (TCM), this study proposes a method for identifying entities in TCM herbal literature; Methods We identify and describe the types of knowledge entities and entity relationships involved in herbal literature. We apply the BIO sequence labeling method to generate a training corpus dataset and use our self-developed CNLP text annotation system for text annotation. The Bert model is employed for recognizing named entities; Results The Bert model achieved entity recognition results for various entities in TCM herbal literature with precision (P) of 71.49%, recall (R) of 72.33%, and F1 score of 71.91%; Conclusion The Bert model demonstrates a certain level of applicability in recognizing various entities in TCM herbal literature. This model is helpful in extracting valuable structured information from a large volume of text data.

Objective Using literature data mining methods, we analyzed the frequency of medication, combinations of drugs, and so on in the treatment of goiter disease with ancient classic prescriptions. We aimed to uncover the core combinations and new prescriptions for treating goiter; s We searched the "Ancient Classic Prescription Database" for literature related to the treatment of goiter, selected the prescriptions for treating goiter, entered them into the medical case cloud platform of ancient and modern times, and used rule analysis, cluster analysis, and other data mining methods to analyze the rules of prescription combination. Results The study finally included 145 prescriptions. The results of drug frequency statistics showed that the use frequency of kelp, seaweed, and Pinellia was relatively high. The analysis of Chinese medicine properties revealed that cold and warm medicines were used frequently, as were bitter, pungent, and salty medicines. Medicines entering the stomach, liver, and kidney meridians were used the most. The results of association rule analysis and cluster analysis revealed the combination relationship and classification of Chinese medicines. Complex network analysis identified the core prescription composition for treating goiter in ancient classic prescriptions, including kelp, seaweed, and Pinellia. Conclusion: This study analyzed the treatment of goiter with ancient classic prescriptions through data mining and found that kelp, seaweed, and Pinellia might be the core combination for treating goiter. The research results can provide a reference for the clinical practice of traditional Chinese medicine in treating goiter.

Objective:To explore and analyze the medication rule of diagnosis and treatment of primary epilepsy in ancient medical cases, hoping to provide reference for the clinical treatment of primary epilepsy. Methods: To excavate and analyze the ancient medical cases of primary epilepsy, extracted the traditional Chinese medicine(TCM) diagnosis and treatment data in the medical cases, standardized the obtained TCM diagnosis and treatment data, and used the data mining function integrated by the ancient and modern medical case cloud platform V2.3.5 to carry out frequency statistics, cluster analysis, association analysis and complex network analysis on the diagnosis and treatment data, the common medicines used by ancient medical cases of primary epilepsy, properties and classifications of commonly used medicines, therapeutic principle and method and coreprescriptions were obtained. Results: A total of 129 cases, 145 medical records and 132 prescriptions data of TCM were included. A total of 235 Chinese medicines were involved, and the total frequency of medication was 1729. The core prescription groups discovered through complex network methods are: Angelica sinensis, Paeonia lactiflora, Poria cocos, Ginseng, Atractylodes macrocephala, Glycyrrhiza uralensis, Uncaria, Dannan star, Orange red, Poria god, Pinellia ternata, Cinnabar, Alum, Polygala tenuifolia, and Acorus calamus. The highest ranked high-frequency traditional Chinese medicine is Dannanxing, followed by Poria cocos and Pinellia ternata. The drug properties are mainly warm (403 times) and cold (398 times). The distribution of the five flavors of traditional Chinese medicine is mainly composed of sweet herbs (796 times), followed by bitter herbs (675 times) and spicy herbs (529 times). According to the frequency of meridian tropism, the descending order is lung (760 times), spleen (744 times), heart (732 times), and liver (718 times). The overall efficacy of 236 traditional Chinese medicines is mainly focused on resolving phlegm, clearing heat, calming the wind, and calming the heart. Conclusion: The main causes of primary epilepsy were "phlegm" and "wind", with more excess syndrome than deficiency syndrome. The disease mainly occurred in the liver and was closely related to the heart, stomach, and gallbladder; The main location of deficiency syndrome is in the spleen, which is closely related to the heart, liver, and kidney. The principle of treatment is always to dissipate phlegm and regulate nourishment, calm the liver and calm the wind. Specific prescriptions vary depending on the syndrome, including clearing heat, suppressing liver, regulating qi, and promoting blood circulation. The ancient doctors in treating primary epilepsy, which emphasized the combination of cold and warm, and the gentle nature of the drug.

The early stage of brucellosis belongs to the category of latent temperature disease in traditional Chinese medicine, and the symptom is damp-heat epidemic pathogen. But later to joint pain, soreness and weakness of waist and knees, fatigue, joint pain, night sweats, etc., mainly in the joint, belongs to the liver and kidney deficiency, qi and blood deficiency, spleen wet turbidity syndrome, belongs to the category of traditional Chinese medicine rheumatism heat arthralgia syndrome, etiology and pathogenesis due to ' winter does not store essence, spring must disease temperature ' within the virtual cause. Based on the syndrome differentiation of traditional Chinese medicine, Duhuo Jisheng Decoction combined with Simiao Pill was used to treat liver and kidney, nourish qi and blood, and eliminate dampness and turbidity, so as to achieve the purpose of strengthening the body and eliminating evil, restoring healthy qi and eliminating evil qi. To provide reference for the treatment of infectious diseases such as brucellosis.

Objective; To analyze the discrimination and treatment of acute larynx ulcer in TCM classics. Methods: Using the mathematical statistics and data mining methods to sort and analyze information of the scarlet fever in TCM classics, such as etiology, disease-bit, treatment and formulas. Results: The causes of the scarlet fever involved warms up when poison, weakened body resistance and pidemic pathogen with li gas, and its site of cerebral apoplexy located in throat, skin and stomach. TCM syndrome of the scarlet fever included pathogenic factors invade lung and surface, toxic obstructing qi aspect, pathogenic factors invade the ying blood and pathogenic factors invade liver and kidney. For the treatment of the scarlet fever, the main method is clearing heat and detoxification, and external treatment is emphasized, such as external application, laryngeal blowing and removing corruption. Niuhuang (Bovis Calculus)-Zhenzhu (Margarita), Bingpian (Borneolum Syntheticum)-Daqingye (Isatidis Folium), Niuxi (Achyranthis Bidentatae Radix)-Tuniuxigen (Achyranthes aspera), Bingpian (Borneolum Syntheticum)-Niuhuang (Bovis Calculus), Bingpian (Borneolum Syntheticum)-Xionghuang (Realgar), Bingpian (Borneolum Syntheticum)-Shexiang (Moschus) combination has the characteristics of scarlet fever treatment. Conclusion: By summarizing and excavating the rules of syndrome differentiation and treatment of scarlet fever, it can provide a reference for the treatment of modern acute respiratory infectious diseases.

Objective To analyze the prescription rules for pestilence in ancient books of case records, and provide reference for treatment of coronavirus disease 2019 (COVID19); Methods The medical cases of warm diseases in ancient times were selected as the source before data extraction rules were made. TCM Miner was used to conduct the counts and analysis of association rules, and Cloud Platform of Ancient and Modern Medical Cases was used for complex network analysis. Results A total of141 medical cases were found in the 14 ancient books of case records, involving 66 formulae and 142 Chinese medicinals. The formulae mainly included Xiao Chaihu Tang (Minor Bupleurum Decoction), Dayuan Yin (Membrane Source-Opening Beverage), and JiuweiQianghuo Tang (Nine Ingredients Notopterygium Decoction), while the medicinals mainly included Lianqiao (Fructus Forsythiae), Fuling (Poria), and Shichangpu (RhizomaAcoriTatarinowii). Conlusion The prescriptions against pestilence in ancient times highlight clearing heat and toxins, cooling the blood, resolving dampness and opening the orifices, which is also combined with releasing the exterior.

Objective: To explore and analyze the medication rule of Chinese medicine master Yu Ying-ao in the treatment of primary epilepsy, hoping to provide reference for the clinical treatment of primary epilepsy. Methods: Mining and analysis primary epilepsy Outpatient records of Chinese medicine master Yu Ying-ao, extracted the traditional Chinese medicine(TCM) diagnosis and treatment data in the medical cases, standardized the obtained TCM diagnosis and treatment data, and used the data mining function integrated by the ancient and modern medical case cloud platform V2.3.5 to carry out frequency statistics, cluster analysis, association analysis and complex network analysis on the diagnosis and treatment data, the common medicines used by Chinese medicine master Yu Ying-ao in the treatment of primary epilepsy, properties and classifications of commonly used medicines, therapeutic principle and method and coreprescriptions were obtained. Results: A total of 70 cases, 213 medical records and 231 prescriptions data of TCM were included. A total of 120 Chinese medicines were involved, and the total frequency of medication was 3388. The core prescription groups mined through the complex network method are: Raw Concha Ostreae(Shengmuli), Radix Curcumae(Yujin), Alum(Baifan), longchi, Salvia miltiorrhiza(Danshen), Caulis Bambusae in Taenia(Zhuru), Semen armeniacae amarum(Kuxingren), Semen Persicae(Taoren), Arisaema cum Bile(Dannanxing) and Amber(Hupo). In the prescription, Raw Concha Ostreae(Shengmuli) and Radix Curcumae(Yujin) were king medicines and also high-frequency medicines, all of which were cold medicines. Yu Ying-ao's clinical dosage of Alum(Baifan) was between $1.5 \sim 3\mathrm{g}$, and the curative effect was enhanced by decocting it first to remove its great fire. Yu Ying-ao's clinical high-frequency medicines are: Raw Concha Ostreae(Shengmuli), Radix Curcumae(Yujin), Alum(Baifan), Salvia miltiorrhiza(Danshen), Longchi, Semen armeniacae amarum(Kuxingren), Semen Persicae(Taoren) and Arisaema cum Bile(Dannanxing). Most of the high-frequency medicines were cold medicines (such as Shengmuli, Yujin, Baifan, Kuxingren, etc.), The specific drugs were mild cold drugs (827 times). The most common distribution of the five flavors of traditional Chinese medicine was bitter medicine (1678 times), the meridian of returning to the liver (2214 times) was the most common. The top three efficacy of 120 traditional Chinese medicines were moistening bowels (529 times), promoting blood circulation and removing blood stasis (436 times), clearing heat and resolving phlegm (385 times).Conclusion: Chinese medicine master Yu Ying-ao takes the principle of purging excess and tonifying deficiency, and purging more than tonifying. To calm the mind, invigorate the spleen, regulate the liver, moisten the internal organs, reconcile the middle, and invigorate the qi, and harmonizing lung, heart, spleen and large intestine.

Objective The prescription rules of traditional Chinese medicine (TCM) for knee osteoarthritis (KOA) in ancient medical classics were explored based on Traditional Chinese Medicine Inheritance Computer System (TCMICS) to provide reference and evidence for modern clinical treatment. Methods The contents of TCM treatment for KOA in ancient medical classics were comprehensively collected and then logged in TCMICS after screening, where frequency of formulae, medicinals and medicinal combination, as well as properties, flavors and channel tropism of frequently-used medicinals, etc. were counted. Results A total of 510 items were selected from ancient medical classics, including 221 formulae with specific names, and 25 medicinals with a frequency of more than 40. The top three formulae which were most frequently used included Da Fangfeng Tang (Major Ledebouriella Decoction), Wutou Tang (Aconite Decoction), and Duhuo Jisheng Tang (Pubescent Angelica and Mistletoe Decoction). The top five medicinals which were most frequently used included Danggui (Angelicae Sinensis Radix), Niuxi (Achyranthis Bidentatae Radix), Fangfeng (Saposhnikoviae Radix), Chuanxiong (Chuanxiong Rhizoma), and Gancao (Glycyrrhizae Radix et Rhizoma). It was also found through analysis that the core formula was modification of Da Fangfeng Tang. Conclusion The main formulae used for KOA are Da Fangfeng Tang, Wutou Tang, and Duhuo Jisheng Tang, while the selection of medicinals highlights the actions of nourishing the liver and kidney, boosting qi and blood, or activating blood and removing blood stasis, and warming the channels and dissipating cold, which can provide reference for clinical treatment.

Objective: To explore and analyze the medication rule of Professor Yan Xiaocheng in the treatment of primary epilepsy, hoping to provide reference for the clinical treatment of primary epilepsy. Method: Mining and analysis Professor Yan Xiaocheng sorted out the medical cases of primary epilepsy in Yan Xiaocheng’s Clinical experience Collection of Epilepsy,extracted the traditional Chinese medicine(TCM) prescription data in the medical cases, standardized the obtained TCM prescription data, and used the data mining function integrated by the ancient and modern medical case cloud platform V2.3.5 to carry out frequency statistics, cluster analysis, association analysis and complex network analysis on the TCM data, the common medicines used by Professor Yan Xiaocheng in the treatment of primary epilepsy, properties and classifications of commonly used medicines, pairs of commonly used medicines and coreprescriptions were obtained. Result: A total of 39 cases, 228 medical records and 192 prescriptions data of TCM were included. A total of Ill Chinese medicines were involved, and the total frequency of medication was 3190. High frequency medicines include Ramulus Uncariae cum Uncis (185 times), Rhizoma Gastrodiae (185 times), Rhizoma Acori Tatarinowii (178 times), Rhizoma Pinelliae Praeparatum (170 times), Bombyx Batryticatus (170 times) and cicada molting (151 times). The main properties and flavors of commonly used Chinese medicines were pungent, bitter and sweet, which were mainly attributed to the four meridians of liver, lung, heart and spleen. Commonly used couplet medicines were Cicada Molting-Bombyx Batryticatus, Rhizoma Acori Tatarinowii-Bombyx Batryticatus, Radix Bupleuri-Scutellaria, Rhizoma Gastrodiae-Ramulus Uncariae cum Uncis, Rhizoma Acori Tatarinowii-Cicada Molting, Ramulus Uncariae cum Uncis-Bombyx Batryticatus, etc. The core prescription composition was based on the addition and subtraction of Tianma Goutengtang and Erchentang. Conclusion: Professor Yan Xiaocheng’s medication for the treatment of primary epilepsy was based on the principle of relieving wind and spasm, drying dampness and resolving phlegm, giving consideration to both Qi and blood, and harmonizing liver, lung, heart and spleen.

Objective: Based on the integrated pharmacology platform of Chinese medicine V2.0 (TCMIP V2.0), this paper explores the molecular mechanism and quality markers of Tanyu Tongzhi Recipe against myocardial ischemia reperfusion injury (MIRI). Methods: Use TCMIP V2.0 to collect the drug components, targets, and MIRI disease targets of the recipe for phlegm and blood stasis, construct a drug-disease-target interaction network, screen drugs and disease common targets, analyze the biological process of the common targets, and finally establish a “component-target-pathway-pharmacological action” multi-dimensional network analysis and analysis of the core components in the network. Results: A total of 157 medicinal chemical components, such as Pinellia, Red Peony, Chuanxiong, Licorice, etc. were collected from the prescription of phlegm and blood stasis, with 272 corresponding targets. A total of 290 MIRI disease targets were collected. Through "Traditional Chinese Medicine Association Network Mining," the first 100 targets in the core targets were analyzed and 31 targets shared by drugs and diseases. Analysis of these shared targets revealed that the shared targets are mainly involved in the positive regulation of tube formation, angiogenesis, positive regulation of autophagy, inflammation, and negative regulation of apoptosis. KEGG enrichment analysis shows that these common targets are mainly enriched in the FoxO signaling pathway, HIF-1 signaling pathway, TNF signaling pathway, PI3K-Akt signaling pathway, VEGF signaling pathways and other signal pathways. Further analysis of the multi-dimensional network revealed that 46 components of Tanyu Tongzhi Prescription affect the above five signal pathways to exert anti-MIRI effects by interacting with 19 shared targets. Among them, quercetin, kaempferol, naringenin, and baicalein are intervened. AKT affects five signal pathways involved in the occurrence and development of MIRI. Conclusion: Quercetin, kaempferol, naringenin, and baicalein in Tanyu Tongzhi Recipe can resist MIRI by regulating inflammation, autophagy and apoptosis, oxidative stress, angiogenesis, and other processes.

Objective: To analyze medication rule of the treatment for spring warm disease in case records of Qing Dynasty (1636-1912) based on data mining. Methods: Ancient case records of warm disease were selected as the data source and the standard principle of data extraction was established. TCM Miner was used for collecting data and analyzing association rules. Results: A total of 225 case records of spring warm disease are recorded in 20 ancient medical classics, including 37 formulas and 219 Chinese medicines. The main formulas include Baihu Tang (White Tiger Decoction), Fumai Tang (Pulse-Restorative Decoction) and Liuyi San (Six-to-One Powder), which fall into the category of heat-clearing formula, tonifying formula and phlegm-expelling formula respectively. The main Chinese medicines include Lianqiao (Fructus Forsythiae), Fuling (Poria) and Shichangpu (Rhizoma Acori Tatarinowii), which are capable of relieving cough and panting and resolving phlegm, promoting urination and eliminating dampness, as well as tonifying. The properties are mainly warm, cold and neutral; the flavors are mainly sweet, bitter and acrid; and the medicines mainly enter meridians of the lung, stomach and liver respectively. The frequently-used medicinal combinations include Xingren ((Armeniacae Amarum)) -Beimu (Bulbus Fritillariae), Jupi (Citri Exocarpium)-Xingren, Lianqiao-Jinyinhua (Flos Lonicerae Japonicae) -Xuanshen (Radix Scrophulariae), and Lianqiao-Xuanshen-Shichangpu. Conclusion: The formulas and medications in the treatment of spring warm disease in ancient case records focus on clearing heat that is assisted by eliminating exterior pathogen and protecting yin fluid.