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Development of large-scale TCM corpus using hybrid named entity recognition methods for clinical phenotype detection: An initial study., , , , , and . CIBD, page 84-90. IEEE, (2014)Extracting relations from traditional Chinese medicine literature via heterogeneous entity networks., , , , , , and . J. Am. Medical Informatics Assoc., 23 (2): 356-365 (2016)Disease phenotype synonymous prediction through network representation learning from PubMed database., , , , , , , and . Artif. Intell. Medicine, (2020)SymMap: an integrative database of traditional Chinese medicine enhanced by symptom mapping., , , , , , , , , and 3 other author(s). Nucleic Acids Res., 47 (Database-Issue): D1110-D1117 (2019)Multiscale backbone based network comparison algorithm for effective herbal interaction analysis., , , , , and . BMEI, page 1757-1762. IEEE, (2011)Constructing ideas of health service platform for the elderly., , , , , and . Healthcom, page 526-529. IEEE, (2012)Using link topic model to analyze traditional Chinese Medicine Clinical symptom-herb regularities., , , and . Healthcom, page 15-18. IEEE, (2012)Analysis of Disease Comorbidity Patterns in a Large-Scale China Population., , , , , , , , and . ICIC (2), volume 10955 of Lecture Notes in Computer Science, page 272-278. Springer, (2018)A conditional probabilistic model for joint analysis of symptoms, diseases, and herbs in traditional Chinese medicine patient records., , , , , , and . BIBM, page 411-418. IEEE Computer Society, (2016)Studying herb-herb interaction for insomnia through the theory of complementarities., , , , , , , , , and 1 other author(s). BIBM Workshops, page 722-726. IEEE, (2010)