作者: Dong Hoon Yang , Ji Hoon Kang , Young Bae Park , Young Jae Park , Hwan Sup Oh
DOI: 10.1371/JOURNAL.PONE.0059241
关键词:
摘要: Extracting useful and meaningful patterns from large volumes of text data is growing importance. In the present study we analyze vast amounts prescription data, generated book oriental medicine to identify relationships between symptoms associated medicines used treat these symptoms. The in this (called Bangyakhappyeon) contains a number prescriptions about 54 categorized lists corresponding herbal materials. We an association rule algorithm combined with network analysis found informative medicines.