{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,4,17]],"date-time":"2025-04-17T13:30:23Z","timestamp":1744896623378,"version":"3.28.0"},"reference-count":10,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017,11]]},"DOI":"10.1109\/bibm.2017.8217858","type":"proceedings-article","created":{"date-parts":[[2017,12,21]],"date-time":"2017-12-21T22:07:41Z","timestamp":1513894061000},"page":"1350-1353","source":"Crossref","is-referenced-by-count":6,"title":["Application of data mining technology in TCM diagnosis and treatment"],"prefix":"10.1109","author":[{"given":"Wenliang","family":"Chen","sequence":"first","affiliation":[]},{"given":"Song","family":"He","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1023\/A:1019284429578"},{"journal-title":"Fast Algorithms for Mining Association Rules in Large Databases","year":"1994","author":"agrawal","key":"ref3"},{"key":"ref10","first-page":"225","article-title":"Dynamic Itemset Counting and Implication Rules for Market Basked Data [C]","author":"brin","year":"1997","journal-title":"Proceedings of the ACM SIGMOD International Conference on Management of Data"},{"key":"ref6","first-page":"966","article-title":"The quality problems in the process of data collection and countermeasures in scientific research by the electronic medical records of traditional Chinese medicine","volume":"9","author":"song","year":"2011","journal-title":"Chinese Journal of Basic Medicine in Traditional Chinese Medicine"},{"key":"ref5","first-page":"451","volume":"56","author":"liu","year":"2013","journal-title":"Traditional Chinese medicine clinical research paradigm of real-world Journal of Traditional Chinese Medicine"},{"key":"ref8","doi-asserted-by":"crossref","first-page":"175","DOI":"10.1145\/568271.223813","article-title":"An effective hashbased algorithm for mining association rules [C]","author":"park","year":"1995","journal-title":"Proceedings of the ACM SIGMOD International Conference on Management of Data"},{"key":"ref7","first-page":"653","volume":"31","author":"liu","year":"2012","journal-title":"Data Processing and Analysis in Real-world Traditional Chinese Medicine Clinical Data Challenges and Approaches Statistics in Medicine"},{"key":"ref2","first-page":"207","author":"agrawal","year":"1993","journal-title":"Mining association rules between sets of items in large databases[C]\/\/SIGMOD'93"},{"key":"ref9","first-page":"432","article-title":"An efficient algorithm for mining association rules in large databases [C]","author":"savasere","year":"1995","journal-title":"Proceedings of the 21st International Conference on Very large Database"},{"journal-title":"Data Mining Concepts and Techniques Morgan KaufmanPublisheer","year":"2001","author":"jiawei","key":"ref1"}],"event":{"name":"2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","start":{"date-parts":[[2017,11,13]]},"location":"Kansas City, MO","end":{"date-parts":[[2017,11,16]]}},"container-title":["2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8169618\/8217602\/08217858.pdf?arnumber=8217858","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,10,8]],"date-time":"2019-10-08T12:22:04Z","timestamp":1570537324000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/8217858\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,11]]},"references-count":10,"URL":"https:\/\/doi.org\/10.1109\/bibm.2017.8217858","relation":{},"subject":[],"published":{"date-parts":[[2017,11]]}}}