Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.

Application of artificial intelligence techniques for automated detection of myocardial infarction: a review.

Autor: Hassannataj Joloudari J; Department of Computer Engineering, Faculty of Engineering, University of Birjand, Birjand, Iran.; Department of Computer Engineering, Amol Institute of Higher Education, Amol, Iran., Mojrian S; Department of Information Technology Engineering, Mazandaran University of Science and Technology, Babol, Iran., Nodehi I; Department of Computer Engineering, University of Qom, Qom, Iran., Mashmool A; Dipartimento di Informatica, Bioingegneria, Robotica eIngegneria dei Sistemi (DIBRIS), Università di Genova, Genova, Italy., Kiani Zadegan Z; Department of Computer Engineering, Faculty of Engineering, University of Birjand, Birjand, Iran., Khanjani Shirkharkolaie S; Department of Information Technology Engineering, Mazandaran University of Science and Technology, Babol, Iran., Alizadehsani R; Institute for Intelligent Systems Research and Innovation, Deakin University, Geelong, VIC 3216, Australia., Tamadon T; Department of Computer Engineering, Faculty of Engineering, University of Birjand, Birjand, Iran., Khosravi S; Department of Computer Engineering, Faculty of Engineering, University of Birjand, Birjand, Iran., Akbari Kohnehshari M; Computer Engineering Department, Engineering Faculty, Bu-Ali Sina University, Hamedan, Iran., Hassannatajjeloudari E; Department of Nursing, School of Nursing and Allied Medical Sciences, Maragheh Faculty of Medical Sciences, Maragheh, Iran., Sharifrazi D; Department of Computer Engineering, Shiraz Branch, Islamic Azad University, Shiraz, Iran., Mosavi A; John von Neumann Faculty of Informatics, Obuda University, 1034 Budapest, Hungary.; Institute of Information Engineering, Automation and Mathematics, SlovakUniversity of Technology in, Bratislava, Slovakia., Loh HW; School of Science and Technology, Singapore University of Social Sciences, Singapore., Tan RS; Department of Cardiology, National Heart Centre Singapore, Singapore.; Duke-NUS Medical School, Singapore., Acharya UR; School of Science and Technology, Singapore University of Social Sciences, Singapore.; Ngee Ann Polytechnic, Singapore, 599489, Singapore.; Dept. of Biomedical Informatics and Medical Engineering, Asia University, Taichung, Taiwan.

Publikováno v: Physiological measurement [Physiol Meas] 2022 Aug 03; Vol. 43 (8). Date of Electronic Publication: 2022 Aug 03.

FCM-DNN: diagnosing coronary artery disease by deep accuracy fuzzy C-means clustering model.

Autor: Joloudari JH; Department of Computer Engineering, Faculty of Engineering, University of Birjand, Birjand, Iran., Saadatfar H; Department of Computer Engineering, Faculty of Engineering, University of Birjand, Birjand, Iran., GhasemiGol M; Department of Computer Engineering, Faculty of Engineering, University of Birjand, Birjand, Iran., Alizadehsani R; Institute for Intelligent Systems Research and Innovation, Deakin University, Geelong, VIC 3216, Australia., Sani ZA; Rajaie Cardiovascular Medical and Research Center, Iran University of Medical Sciences, Tehran, Iran.; Omid hospital, Iran University of Medical Sciences, Tehran, Iran., Hasanzadeh F; Omid hospital, Iran University of Medical Sciences, Tehran, Iran., Hassannataj E; Department of Nursing, School of Nursing and Allied Medical Sciences, Maragheh Faculty of Medical Sciences, Maragheh, Iran., Sharifrazi D; Department of Computer Engineering, School of Technical and Engineering, Shiraz Branch, Islamic Azad University, Shiraz, Iran., Mansor Z; Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, UKM Bangi 43600, Malaysia.

Publikováno v: Mathematical biosciences and engineering : MBE [Math Biosci Eng] 2022 Feb 07; Vol. 19 (4), pp. 3609-3635.

Time series forecasting of new cases and new deaths rate for COVID-19 using deep learning methods.

Autor: Ayoobi N; Department of Mathematics, Savitribai Phule Pune University, Pune 411007, India., Sharifrazi D; Department of Computer Engineering, School of Technical and Engineering, Shiraz Branch, Islamic Azad University, Shiraz, Iran., Alizadehsani R; Institute for Intelligent Systems Research and Innovation (IISRI), Deakin University, Waurn Ponds, VIC 3217, Australia., Shoeibi A; Computer Engineering Department, Ferdowsi University of Mashhad, Mashhad, Iran.; Faculty of Electrical and Computer Engineering, Biomedical Data Acquisition Lab, K. N. Toosi University of Technology, Tehran, Iran., Gorriz JM; Department of Signal Theory, Networking and Communications, Universidad de Granada, Spain., Moosaei H; Department of Mathematics, Faculty of Science, University of Bojnord, Iran., Khosravi A; Institute for Intelligent Systems Research and Innovation (IISRI), Deakin University, Waurn Ponds, VIC 3217, Australia., Nahavandi S; Institute for Intelligent Systems Research and Innovation (IISRI), Deakin University, Waurn Ponds, VIC 3217, Australia., Gholamzadeh Chofreh A; Sustainable Process Integration Laboratory - SPIL, NETME Centre, Faculty of Mechanical Engineering, Brno University of Technology - VUT Brno, Technická 2896/2, 616 69 Brno, Czech Republic., Goni FA; Department of Management, Faculty of Business and Management, Brno University of Technology - VUT Brno, Kolejní 2906/4, 612 00 Brno, Czech Republic., Klemeš JJ; Sustainable Process Integration Laboratory - SPIL, NETME Centre, Faculty of Mechanical Engineering, Brno University of Technology - VUT Brno, Technická 2896/2, 616 69 Brno, Czech Republic., Mosavi A; John von Neumann Faculty of Informatics, Obuda University, 1034 Budapest, Hungary.; School of Economics and Business, Norwegian University of Life Sciences, 1430 Ås, Norway.

Publikováno v: Results in physics [Results Phys] 2021 Aug; Vol. 27, pp. 104495. Date of Electronic Publication: 2021 Jun 26.

Fusion of convolution neural network, support vector machine and Sobel filter for accurate detection of COVID-19 patients using X-ray images.

Autor: Sharifrazi D; Department of Computer Engineering, School of Technical and Engineering, Shiraz Branch, Islamic Azad University, Shiraz, Iran., Alizadehsani R; Institute for Intelligent Systems Research and Innovations (IISRI), Deakin University, Geelong, Australia., Roshanzamir M; Department of Computer Engineering, Faculty of Engineering, Fasa University, 74617-81189, Fasa, Iran., Joloudari JH; Department of Computer Engineering, Faculty of Engineering, University of Birjand, Birjand, Iran., Shoeibi A; Computer Engineering Department, Ferdowsi University of Mashhad, Mashhad, Iran.; Faculty of Electrical and Computer Engineering, Biomedical Data Acquisition Lab, K. N. Toosi University of Technology, Tehran, Iran., Jafari M; Electrical and Computer Engineering Faculty, Semnan University, Semnan, Iran., Hussain S; System Administrator, Dibrugarh University, Assam, 786004, India., Sani ZA; Rajaie Cardiovascular Medical and Research Center, Iran University of Medical Sciences, Tehran, Iran.; Omid Hospital, Iran University of Medical Sciences, Tehran, Iran., Hasanzadeh F; Omid Hospital, Iran University of Medical Sciences, Tehran, Iran., Khozeimeh F; Institute for Intelligent Systems Research and Innovations (IISRI), Deakin University, Geelong, Australia., Khosravi A; Institute for Intelligent Systems Research and Innovations (IISRI), Deakin University, Geelong, Australia., Nahavandi S; Institute for Intelligent Systems Research and Innovations (IISRI), Deakin University, Geelong, Australia., Panahiazar M; Institute for Computational Health Sciences, University of California, San Francisco, USA., Zare A; Faculty of Electrical Engineering, Gonabad Branch, Islamic Azad University, Gonabad, Iran., Islam SMS; Institute for Physical Activity and Nutrition, Deakin University, Melbourne, Australia.; Cardiovascular Division, The George Institute for Global Health, Australia.; Sydney Medical School, University of Sydney, Australia., Acharya UR; Department of Electronics and Computer Engineering, Ngee Ann Polytechnic, Singapore.; Department of Biomedical Engineering, School of Science and Technology, Singapore University of Social Sciences, Singapore.; Department of Bioinformatics and Medical Engineering, Asia University, Taiwan.

Publikováno v: Biomedical signal processing and control [Biomed Signal Process Control] 2021 Jul; Vol. 68, pp. 102622. Date of Electronic Publication: 2021 Apr 08.