The Application of Data Mining on Association Rules of Medical Records Between the Inpatient and Outpatient

• Main Authors: Shih-Che Chen, 陳世哲
• Other Authors: Yi-Chao Huang
• Format: Others
• Language: zh-TW
• Published: 2012
• Online Access: http://ndltd.ncl.edu.tw/handle/93961124703709158968

碩士 === 國立屏東科技大學 === 工業管理系所 === 100 === The medical records electronic medical records are more likely to be saved, a large database can be used as a reference for academic research and business improvement. In this study, a Taiwan empirical hospital medical records database as a data source, medical record number for the associated integration of inpatient and outpatient medical records, and select patients with primary diagnosis, sub-diagnosis and basic information as the research object. Order to find out easily lead to inpatient, outpatient disease, this paper presents the sort of data encoding (Data Encoding and the Sorting Method DESM) the establishment of the medical records of association rules, instance validation, data encoding, sorting method, in addition to correctly search for association rules, perform The speed is superior to the traditional Apriori algorithm, support for 2%, the sort of data encoding Apriori improve computational efficiency of 93.77%. Search for association rules, according to this study document verification, and literature validation rules can be used as tracking a reference to the treatment of patients with health management and medical staff, there is no literature validation rules may be the future direction of medical research.