An artificial neural network model for the evaluation of carotid artery stenting prognosis using a national-wide database

Chun An Cheng; Hung Wen Chiu

doi:10.1109/EMBC.2017.8037381

An artificial neural network model for the evaluation of carotid artery stenting prognosis using a national-wide database

Chun An Cheng, Hung Wen Chiu

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

15 Citations (Scopus)

Abstract

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.

Original language	English
Title of host publication	2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Subtitle of host publication	Smarter Technology for a Healthier World, EMBC 2017 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	2566-2569
Number of pages	4
ISBN (Electronic)	9781509028092
DOIs	https://doi.org/10.1109/EMBC.2017.8037381
Publication status	Published - Sep 13 2017
Externally published	Yes
Event	39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2017 - Jeju Island, Korea, Republic of Duration: Jul 11 2017 → Jul 15 2017

Other

Other	39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2017
Country	Korea, Republic of
City	Jeju Island
Period	7/11/17 → 7/15/17

ASJC Scopus subject areas

Signal Processing
Biomedical Engineering
Computer Vision and Pattern Recognition
Health Informatics

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Cheng, C. A., & Chiu, H. W. (2017). An artificial neural network model for the evaluation of carotid artery stenting prognosis using a national-wide database. In 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Smarter Technology for a Healthier World, EMBC 2017 - Proceedings (pp. 2566-2569). [8037381] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EMBC.2017.8037381

An artificial neural network model for the evaluation of carotid artery stenting prognosis using a national-wide database. / Cheng, Chun An; Chiu, Hung Wen.

2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Smarter Technology for a Healthier World, EMBC 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2017. p. 2566-2569 8037381.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Cheng, CA & Chiu, HW 2017, An artificial neural network model for the evaluation of carotid artery stenting prognosis using a national-wide database. in 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Smarter Technology for a Healthier World, EMBC 2017 - Proceedings., 8037381, Institute of Electrical and Electronics Engineers Inc., pp. 2566-2569, 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2017, Jeju Island, Korea, Republic of, 7/11/17. https://doi.org/10.1109/EMBC.2017.8037381

Cheng CA, Chiu HW. An artificial neural network model for the evaluation of carotid artery stenting prognosis using a national-wide database. In 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Smarter Technology for a Healthier World, EMBC 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2017. p. 2566-2569. 8037381 https://doi.org/10.1109/EMBC.2017.8037381

Cheng, Chun An ; Chiu, Hung Wen. / An artificial neural network model for the evaluation of carotid artery stenting prognosis using a national-wide database. 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Smarter Technology for a Healthier World, EMBC 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 2566-2569

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abstract = "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.",

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An artificial neural network model for the evaluation of carotid artery stenting prognosis using a national-wide database

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