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Co-evolution of symptom-herb relationship.

, , , , , and . IEEE Congress on Evolutionary Computation, page 1-6. IEEE, (2012)

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Algorithms for Finding and Correcting Four Kinds of Data Mistakes in Information Table., , , , , and . KES (1), volume 4251 of Lecture Notes in Computer Science, page 714-719. Springer, (2006)Co-evolution of symptom-herb relationship., , , , , and . IEEE Congress on Evolutionary Computation, page 1-6. IEEE, (2012)Integrated network analysis of symptom clusters across disease conditions., , , , , , , , , and 1 other author(s). J. Biomed. Informatics, (2020)Using Rough Set to Induce All Kinds of Positive Region Knowledge and It's use in SARS Data Set., , , , , and . ICDM (Posters), page 244-252. (2006)Aid decision of Chinese traditional patent medicine based on manifold ranking., , , , and . BIBM, page 330-331. IEEE Computer Society, (2013)Framing Electronic Medical Records as Polylingual Documents in Query Expansion., , , , , , and . AMIA, AMIA, (2017)Integrative mining of traditional Chinese medicine literature and MEDLINE for functional gene networks., , , and . Artif. Intell. Medicine, 41 (2): 87-104 (2007)Methods and technologies of traditional Chinese medicine clinical information datamation in real world., , , , , , , and . CIBD, page 91-95. IEEE, (2014)A Discretization Algorithm That Keeps Positive Regions of All the Decision Classes., , , , and . KES (1), volume 4251 of Lecture Notes in Computer Science, page 1029-1036. Springer, (2006)PDGNet: Predicting Disease Genes Using a Deep Neural Network With Multi-View Features., , , , , , , , , and . IEEE ACM Trans. Comput. Biol. Bioinform., 19 (1): 575-584 (2022)