TY - GEN
T1 - Toward personalized treatment of chronic diseases - The CKD case study
AU - Chen, Chih Yang
AU - Chou, Chun Nan
AU - Wu, I. Wen
N1 - Publisher Copyright:
© 2017 Association for Computing Machinery.
PY - 2017/10/23
Y1 - 2017/10/23
N2 - Chronic diseases greatly influence the patients' life and incur the bulk of healthcare costs. Medical treatments should be personalized to consider individual variance. In this study, we take a first step toward personalized treatment of chronic kidney disease by formulating two prediction problems. We utilize random forest to learn the prediction models, and the preliminary results look promising.
AB - Chronic diseases greatly influence the patients' life and incur the bulk of healthcare costs. Medical treatments should be personalized to consider individual variance. In this study, we take a first step toward personalized treatment of chronic kidney disease by formulating two prediction problems. We utilize random forest to learn the prediction models, and the preliminary results look promising.
KW - Chronic kidney disease
KW - Personalized medicine
UR - http://www.scopus.com/inward/record.url?scp=85034807284&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85034807284&partnerID=8YFLogxK
U2 - 10.1145/3132635.3132646
DO - 10.1145/3132635.3132646
M3 - Conference contribution
AN - SCOPUS:85034807284
T3 - MMHealth 2017 - Proceedings of the 2nd International Workshop on Multimedia for Personal Health and Health Care, co-located with MM 2017
SP - 73
EP - 76
BT - MMHealth 2017 - Proceedings of the 2nd International Workshop on Multimedia for Personal Health and Health Care, co-located with MM 2017
PB - Association for Computing Machinery, Inc
T2 - 2nd International Workshop on Multimedia for Personal Health and Health Care, MMHealth 2017
Y2 - 23 October 2017
ER -