Sequential Condition Evolved Interaction Knowledge Graph for Traditional Chinese Medicine Recommendation

Traditional Chinese Medicine (TCM) has a rich history of utilizing natural herbs to treat a diversity of illnesses. In practice, TCM diagnosis and treatment are highly personalized and organically holistic, requiring comprehensive consideration of the patient's state and symptoms over time. However, existing TCM recommendation approaches overlook the changes in patient status and only explore potential patterns between symptoms and prescriptions. In this paper, we propose a novel Sequential Condition Evolved Interaction Knowledge Graph (SCEIKG), a framework that treats the model as a sequential prescription-making problem by considering the dynamics of the patient's condition across multiple visits. In addition, we incorporate an interaction knowledge graph to enhance the accuracy of recommendations by considering the interactions between different herbs and the patient's condition. Experimental results on a real-world dataset demonstrate that our approach outperforms existing TCM recommendation methods, achieving state-of-the-art performance

Network Pharmacology and Traditional Chinese Medicine

Gynaecology & obstetric

Expression model for multiple relationships in the ontology of traditional Chinese medicine knowledge

AbstractObjectiveTo explore multiple relationships in traditional Chinese medicine (TCM) knowledge by comparing binary and multiple relationships during knowledge organization.MethodsCharacteristics of binary and multiple semantic relationships as well as their associations are described. A method to classify multiple relationships based on the involvement of time is proposed and theoretically validated using examples from the ancient TCM classic Important Formulas Worth a Thousand Gold Pieces. The classification includes parallel multiple relationships, restricted multiple relationships, multiple relationships that involve time, and multiple relationships that involve time restriction. Next, construction of multiple semantic relationships for TCM concepts in each classification using Protégé, an ontology editing tool is described.ResultsProtégé is superior to a binary relationship and less than ideal with multiple relationships during the constitution of concept relationships.ConclusionWhen applied in TCM, the semantic relationships constructed by Protégé are superior than those constructed by correlation and/or attribute relationships, but less ideal than those constructed by the human cognitive process

Inclusive education and social competence development

Students with special educational needs are exposed to the same social and cultural effects as any other child. Their social and emotional development also evolves under those influences and they, too, must adjust to the conditions of their environment. In several cases, however, an inadequate learning environment keeps these children from experiencing and learning social skills and abilities (such as self-confidence and independence). Inclusive education for children with special educational needs is not common practice in Hungary even though it is equally well suited to fostering different social skills and abilities in children with either average or non-average development. This paper endeavours to argue for the importance of having inclusive education in Hungary by discussing examples abroad, with special emphasis on research and practical implementations in Great Britain

The Recent History of Seasonal Affective Disorder (SAD)

Seminar TranscriptPsychiatric diagnosis is controversial and is regarded by some principally as a means of reinforcing the vested interests of medical professionals and pharmaceutical companies. On the other hand, the phenomena that are described in clinical psychiatric practice are real and clearly extend across time and between cultures. ‘In every culture there is some notion of emotional or psychological difference. Not all cultures identify these differences in the same way, nor do they use identical terms. Equally, however no culture is indifferent to those who are sad, frightened or unintelligible in their conduct.’ 1 The description and diagnosis of Seasonal Affective Disorder (SAD) or ‘winter depression’ is a comparatively recent development which provides an unrivalled opportunity to explore the construction of a psychopathological entity through the relevant peer-reviewed publications, as well as the professional and public reaction to these scientific discoveries. This Witness Seminar provides a riveting insight into the thinking of some key protagonists, both the scientists who developed the diagnosis of SAD as well as those for whom this new clinical entity resonated so clearly with their own experiences. What is the point of diagnosis? Ideally a diagnosis should point to a particular disease process, though even in general medicine this is often not the case. However, in a pragmatic sense the value of diagnosis is that it enables a group of people manifesting particular clinical phenomena to be identified as sharing a common prognosis and response to treatment – in the case of SAD a therapeutic response to artificial bright light. Indeed with SAD, it may be that increasing knowledge about the circadian effects of bright light stimulated a search for medical conditions in which it might be effective, that is, in some sense the availability of a treatment led to the identification of the condition. How truly recent is the identification of SAD as a diagnostic entity? In fact, seasonal variation in mood disorder has long been recognized and Rosenthal and colleagues (1984) quote the eminent nineteenth-century psychiatrist, Emil Kraepelin, as commenting in his standard textbook: ‘Repeatedly I saw in these cases moodiness set in in autumn and pass over in spring ... corresponding in a certain sense to the emotional changes which come over even healthy individuals at the changes of the seaso

Unsupervised Learning and Multipartite Network Models: A Promising Approach for Understanding Traditional Medicine

The ultimate goal of precision medicine is to determine right treatment for right patients based on precise diagnosis. To achieve this goal, correct stratification of patients using molecular features and clinical phenotypes is crucial. During the long history of medical science, our understanding on disease classification has been improved greatly by chemistry and molecular biology. Nowadays, we gain access to large scale patient-derived data by high-throughput technologies, generating a greater need for data science including unsupervised learning and network modeling. Unsupervised learning methods such as clustering could be a better solution to stratify patients when there is a lack of predefined classifiers. In network modularity analysis, clustering methods can be also applied to elucidate the complex structure of biological and disease networks at the systems level. In this review, we went over the main points of clustering analysis and network modeling, particularly in the context of Traditional Chinese medicine (TCM). We showed that this approach can provide novel insights on the rationale of classification for TCM herbs. In a case study, using a modularity analysis of multipartite networks, we illustrated that the TCM classifications are associated with the chemical properties of the herb ingredients. We concluded that multipartite network modeling may become a suitable data integration tool for understanding the mechanisms of actions of traditional medicine.Peer reviewe

Thematic Trends in Complementary and Alternative Medicine Applied in Cancer-Related Symptoms

Purpose: The main goal of this study is to discover the scientific evolution of Cancer-Related Symptoms in Complementary and Alternative Medicine research area, analyzing the articles indexed in the Web of Science database from 1980 to 2013. Design/Methodology/Approach: A co-word science mapping analysis is performed under a longitudinal framework (1980 to 2013). The documental corpus is divided into two subperiods, 1980–2008 and 2009–2013. Thus, the performance and impact rates, and conceptual evolution of the research field are shown. Findings: According to the results, the co-word analysis allows us to identify 12 main thematic areas in this emerging research field: anxiety, survivors and palliative care, meditation, treatment, symptoms and cancer types, postmenopause, cancer pain, low back pain, herbal medicine, children, depression and insomnia, inflammation mediators, and lymphedema. The different research lines are identified according to the main thematic areas, centered fundamentally on anxiety and suffering prevention. The scientific community can use this information to identify where the interest is focused and make decisions in different ways. Research limitation: Several limitations can be addressed: 1) some of the Complementary and Alternative Medicine therapies may not have been included; 2) only the documents indexed in Web of Science are analyzed; and 3) the thematic areas detected could change if another dataset was considered. Practical implications: The results obtained in the present study could be considered as an evidence-based framework in which future studies could be built. Originality/value: Currently, there are no studies that show the thematic evolution of this research area

SARS – COV-2 (COVID-19) Pandemic: A Critical Review on Novel Coronavirus Pathogenesis, Clinical Diagnosis and Treatment

The 2019-nCoV is officially called SARS-CoV-2 and the disease is named COVID-19. The Novel coronavirus (SARS-CoV-2) caused pneumonia in Wuhan, China in December 2019 is a highly contagious disease. The World Health Organization (WHO) has declared it as a global public health emergency. This is the third serious Coronavirus outbreak in less than 20 years, following SARS in 2002–2003 and MERS in 2012. Currently, the research on novel coronavirus is still in the primary stage. It is currently believed that this deadly Coronavirus strain originated from wild animals at the Huanan market in Wuhan by Bats, snakes and pangolins have been cited as potential carriers. On the basis of current published evidence, we systematically summarize the epidemiology, clinical characteristics, diagnosis, treatment and prevention of COVID-19. This review in the hope of helping the public effectively recognize and deal with the novel coronavirus (SARS-CoV-2) and providing a reference for future studies. Keywords: SARS-CoV-2, COVID-19, Coronavirus, pneumonia, Respiratory infectio

Taxonomy and pathology of Togninia (Diaporthales) and its Phaeoacremonium anamorphs.

The genus Togninia (Diaporthales, Togniniaceae) is here monographed along with its Phaeoacremonium (Pm.) anamorphs. Ten species of Togninia and 22 species of Phaeoacremonium are treated. Several new species of Togninia (T.) are described, namely T. argentinensis (anamorph Pm. argentinense), T. austroafricana (anamorph Pm. austroafricanum), T. krajdenii, T. parasitica, T. rubrigena and T. viticola. New species of Phaeoacremonium include Pm. novae-zealandiae (teleomorph T. novae-zealandiae), Pm. iranianum, Pm. sphinctrophorum and Pm. theobromatis. Species can be identified based on their cultural and morphological characters, supported by DNA data derived from partial sequences of the actin and ß-tubulin genes. Phylogenies of the SSU and LSU rRNA genes were used to determine whether Togninia has more affinity with the Calosphaeriales or the Diaporthales. The results confirmed that Togninia had a higher affinity to the Diaporthales than the Calosphaeriales. Examination of type specimens revealed that T. cornicola, T. vasculosa, T. rhododendri, T. minima var. timidula and T. villosa, were not members of Togninia. The new combinations Calosphaeria cornicola, Calosphaeria rhododendri, Calosphaeria transversa, Calosphaeria tumidula, Calosphaeria vasculosa and Jattaea villosa are proposed. Species of Phaeoacremonium are known vascular plant pathogens causing wilting and dieback of woody plants. The most prominent diseases in which they are involved are Petri disease and esca, which occur on grapevines and are caused by a complex of fungi, often including multiple species of Phaeoacremonium. Various Phaeoacremonium species are opportunistic fungi on humans and cause phaeohyphomycosis. The correct and rapid identification of Phaeoacremonium species is important to facilitate the understanding of their involvement in plant as well as human disease. A rapid identification method was developed for the 22 species of Phaeacremonium. It involved the use of 23 species-specific primers, including 20 primers targeting the ß-tubulin gene and three targeting the actin gene. These primers can be used in 14 multiplex reactions. Additionally, a multiple-entry electronic key based on morphological, cultural and ß-tubulin sequence data was developed to facilitate phenotypic and sequence-based species identification of the different Phaeoacremonium species. Separate dichotomous keys are provided for the identification of the Togninia and Phaeoacremonium species. Keys for the identification of Phaeoacremonium-like fungi and the genera related to Togninia are also provided. The mating strategy of several Togninia species was investigated with ascospores obtained from fertile perithecia produced in vitro. Togninia argentinensis and T. novae-zealandiae have homothallic mating systems, whereas T. austroafricana, T. krajdenii, T. minima, T. parasitica, T. rubrigena and T. viticola were heterothallic.