Coronary artery disease detection using artificial intelligence techniques: a survey of trends, geographical differences and diagnostic features 1991–2020

Alizadehsani, R, Khosravi, Abbas, Roshanzamir, M, Abdar, M, Sarrafzadegan, N, Shafie, D, Khozeimeh, F, Shoeibi, A, Nahavandi, Saeid, Panahiazar, M, Bishara, A, Beygui, RE, Puri, R, Kapadia, S, Tan, RS and Acharya, UR 2021, Coronary artery disease detection using artificial intelligence techniques: a survey of trends, geographical differences and diagnostic features 1991–2020, Computers in Biology and Medicine, vol. 128, pp. 1-16, doi: 10.1016/j.compbiomed.2020.104095.

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Title Coronary artery disease detection using artificial intelligence techniques: a survey of trends, geographical differences and diagnostic features 1991–2020
Author(s) Alizadehsani, R
Khosravi, AbbasORCID iD for Khosravi, Abbas orcid.org/0000-0001-6927-0744
Roshanzamir, M
Abdar, M
Sarrafzadegan, N
Shafie, D
Khozeimeh, F
Shoeibi, A
Nahavandi, SaeidORCID iD for Nahavandi, Saeid orcid.org/0000-0002-0360-5270
Panahiazar, M
Bishara, A
Beygui, RE
Puri, R
Kapadia, S
Tan, RS
Acharya, UR
Journal name Computers in Biology and Medicine
Volume number 128
Article ID 104095
Start page 1
End page 16
Total pages 16
Publisher Elsevier
Place of publication Amsterdam, The Netherlands
Publication date 2021-01
ISSN 0010-4825
1879-0534
Keyword(s) Accuracy
Artificial intelligence
Classification
Coronary artery disease
ECG
Features
Language eng
DOI 10.1016/j.compbiomed.2020.104095
Indigenous content off
Field of Research 08 Information and Computing Sciences
09 Engineering
11 Medical and Health Sciences
HERDC Research category C1 Refereed article in a scholarly journal
Persistent URL http://hdl.handle.net/10536/DRO/DU:30145981

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