@inproceedings{c90a733560a54b168357dc0ff70e1455,
title = "The application of association rules in clinical disease: The relationship between recovery after operation of endovascular aneurysm repairing and chronic",
abstract = "This research is carried out in order to find out the effects of chronic which posed on the recovery after operation of endovascular aneurysm repairing in the method of associational data mining by analyzing the number of days which the patient spending in hospital who had finished the operation of endovascular aneurysm repairing; by the result of this research, we will find out the chronic that can seriously affect the recovery and make it a reference for medical personnel like clinicians so that they can target the chronic preventing the potential harm happening ahead of time. It can also improve the recovery after operation and achieve the goal of reducing days in hospital, as well as the waste of medical resource.",
keywords = "Aortic aneurysm, Association rules, Chronic disease, Endovascular aneurysm repair",
author = "Lin Hui and Shih, {Chun Che} and Keh, {Huan Chao} and Yu, {Po Yuan} and Cheng, {Yuan Cheng} and Huang, {Nan Ching}",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2014.; null ; Conference date: 13-05-2014 Through 16-05-2014",
year = "2014",
doi = "10.1007/978-3-319-13186-3_63",
language = "English",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "712--721",
editor = "Wen-Chih Peng and Haixun Wang and Zhi-Hua Zhou and Ho, {Tu Bao} and Tseng, {Vincent S.} and Chen, {Arbee L.P.} and James Bailey",
booktitle = "Trends and Applications in Knowledge Discovery and Data Mining - PAKDD 2014 International Workshops",
address = "Germany",
}