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Mining Multi-dimensional Frequent Patterns Without Data Cube Construction.

, , , , , , , and . PRICAI, volume 4099 of Lecture Notes in Computer Science, page 251-260. Springer, (2006)

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Automatic symptom name normalization in clinical records of traditional Chinese medicine., , , , and . BMC Bioinform., (2010)NNF: An Effective Approach in Medicine Paring Analysis of Traditional Chinese Medicine Prescriptions., , , , , and . DASFAA, volume 3453 of Lecture Notes in Computer Science, page 576-581. Springer, (2005)TCMiner: A High Performance Data Mining System for Multi-dimensional Data Analysis of Traditional Chinese Medicine Prescriptions., , , , , , , and . ER (Workshops), volume 3289 of Lecture Notes in Computer Science, page 246-257. Springer, (2004)On Learning Better Embeddings from Chinese Clinical Records: Study on Combining In-Domain and Out-Domain Data., , , and . BioNLP, page 177-182. Association for Computational Linguistics, (2018)A Preliminary Work on Symptom Name Recognition from Free-Text Clinical Records of Traditional Chinese Medicine using Conditional Random Fields and Reasonable Features., , , , and . BioNLP@HLT-NAACL, page 223-230. Association for Computational Linguistics, (2012)Supervised methods for symptom name recognition in free-text clinical records of traditional Chinese medicine: An empirical study., , , , , , and . J. Biomed. Informatics, (2014)Mining Multi-dimensional Frequent Patterns Without Data Cube Construction., , , , , , , and . PRICAI, volume 4099 of Lecture Notes in Computer Science, page 251-260. Springer, (2006)A framework and its empirical study of automatic diagnosis of traditional Chinese medicine utilizing raw free-text clinical records., , , , , and . J. Biomed. Informatics, 45 (2): 210-223 (2012)