TY - GEN
T1 - An artificial neural network model for the evaluation of carotid artery stenting prognosis using a national-wide database
AU - Cheng, Chun An
AU - Chiu, Hung Wen
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/9/13
Y1 - 2017/9/13
N2 - Stroke is a serious health problem in many countries. About 20% of ischemia stroke involves carotid stenosis. Neck carotid ultrasound is fast, secure and convenient way to detect carotid artery stenosis. Carotid artery stenting (CAS) has become a popular treatment for cerebrovascular stenosis in recent years. However, CAS may also induce the occurrence of major adverse cardiovascular events (MACE) in older patients. Hence the evaluation the CAS prognosis is important.
AB - Stroke is a serious health problem in many countries. About 20% of ischemia stroke involves carotid stenosis. Neck carotid ultrasound is fast, secure and convenient way to detect carotid artery stenosis. Carotid artery stenting (CAS) has become a popular treatment for cerebrovascular stenosis in recent years. However, CAS may also induce the occurrence of major adverse cardiovascular events (MACE) in older patients. Hence the evaluation the CAS prognosis is important.
UR - http://www.scopus.com/inward/record.url?scp=85032226769&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85032226769&partnerID=8YFLogxK
U2 - 10.1109/EMBC.2017.8037381
DO - 10.1109/EMBC.2017.8037381
M3 - Conference contribution
AN - SCOPUS:85032226769
T3 - Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
SP - 2566
EP - 2569
BT - 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2017
Y2 - 11 July 2017 through 15 July 2017
ER -