Leveraging Association Rule Mining to Detect Pathophysiological Mechanisms of Chronic Kidney Disease Complicated by Metabolic Syndrome.
http://doi.ieeecomputersociety.org/10.1109/BIBM.2018.8621226
@inproceedings{DBLP:conf/bibm/PengFWWLLS18,
author = {Su{-}Yuan Peng and
Yadan Fan and
Liwei Wang and
Andrew Wen and
Xusheng Liu and
Hongfang Liu and
Feichen Shen},
editor = {Huiru Jane Zheng and
Zoraida Callejas and
David Griol and
Haiying Wang and
Xiaohua Hu and
Harald H. H. W. Schmidt and
Jan Baumbach and
Julie Dickerson and
Le Zhang},
title = {Leveraging Association Rule Mining to Detect Pathophysiological Mechanisms
of Chronic Kidney Disease Complicated by Metabolic Syndrome},
booktitle = {{IEEE} International Conference on Bioinformatics and Biomedicine,
{BIBM} 2018, Madrid, Spain, December 3-6, 2018},
pages = {1302--1309},
publisher = {{IEEE} Computer Society},
year = {2018},
url = {http://doi.ieeecomputersociety.org/10.1109/BIBM.2018.8621226},
doi = {10.1109/BIBM.2018.8621226},
timestamp = {Wed, 16 Oct 2019 14:14:56 +0200},
biburl = {https://dblp.org/rec/conf/bibm/PengFWWLLS18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
本页面没有标签