Zobrazeno 1 - 10
of 279
pro vyhledávání: '"Mohamad A. Hussain"'
Autor:
AZMI, WAHIZATUL AFZAN1 wahizatul@umt.edu.my, SAAIDIN, MOHD. FAZLIN MAT1, HUSSAIN, MOHAMAD HARIS1, HATTA, MUHAMMAD FIRDAUS MOHD.1
Publikováno v:
Malayan Nature Journal. Sep2019, Vol. 71 Issue 3, p349-359. 9p.
Autor:
Ben Li, Naomi Eisenberg, Derek Beaton, Douglas S. Lee, Leen Al‐Omran, Duminda N. Wijeysundera, Mohamad A. Hussain, Ori D. Rotstein, Charles de Mestral, Muhammad Mamdani, Graham Roche‐Nagle, Mohammed Al‐Omran
Publikováno v:
Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, Vol 13, Iss 17 (2024)
Background Transfemoral carotid artery stenting (TFCAS) carries important perioperative risks. Outcome prediction tools may help guide clinical decision‐making but remain limited. We developed machine learning algorithms that predict 1‐year strok
Externí odkaz:
https://doaj.org/article/a397c931857b4a9ea46f68b740f07f3d
Autor:
Ben Li, Raj Verma, Derek Beaton, Hani Tamim, Mohamad A. Hussain, Jamal J. Hoballah, Douglas S. Lee, Duminda N. Wijeysundera, Charles de Mestral, Muhammad Mamdani, Mohammed Al-Omran
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract Lower extremity open revascularization is a treatment option for peripheral artery disease that carries significant peri-operative risks; however, outcome prediction tools remain limited. Using machine learning (ML), we developed automated a
Externí odkaz:
https://doaj.org/article/ba4eb44b6da0438f9456f9c8a0d30306
Autor:
Ben Li, Badr Aljabri, Raj Verma, Derek Beaton, Mohamad A. Hussain, Douglas S. Lee, Duminda N. Wijeysundera, Charles de Mestral, Muhammad Mamdani, Mohammed Al‐Omran
Publikováno v:
Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, Vol 13, Iss 9 (2024)
Background Lower extremity endovascular revascularization for peripheral artery disease carries nonnegligible perioperative risks; however, outcome prediction tools remain limited. Using machine learning, we developed automated algorithms that predic
Externí odkaz:
https://doaj.org/article/5c489d75b760482c9ccbdb9b29d8184d
Autor:
Ben Li, Raj Verma, Derek Beaton, Hani Tamim, Mohamad A. Hussain, Jamal J. Hoballah, Douglas S. Lee, Duminda N. Wijeysundera, Charles de Mestral, Muhammad Mamdani, Mohammed Al‐Omran
Publikováno v:
Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, Vol 12, Iss 20 (2023)
Background Carotid endarterectomy (CEA) is a major vascular operation for stroke prevention that carries significant perioperative risks; however, outcome prediction tools remain limited. The authors developed machine learning algorithms to predict o
Externí odkaz:
https://doaj.org/article/3fa1576901b74dd9a61302f10efa4746
Autor:
Patrick Heindel, Tanujit Dey, Jessica D. Feliz, Dirk M. Hentschel, Deepak L. Bhatt, Mohammed Al-Omran, Michael Belkin, C. Keith Ozaki, Mohamad A. Hussain
Publikováno v:
npj Digital Medicine, Vol 5, Iss 1, Pp 1-9 (2022)
Abstract After creation of a new arteriovenous fistula (AVF), assessment of readiness for use is an important clinical task. Accurate prediction of successful use is challenging, and augmentation of the physical exam with ultrasound has become routin
Externí odkaz:
https://doaj.org/article/07bf7fc28ef841dd99f9ebb238a56189
Autor:
Patrick Heindel, MD, Peng Yu, MD, PhD, Jessica D. Feliz, MD, Dirk M. Hentschel, MD, Steven K. Burke, MD, Mohammed Al-Omran, MD, MSc, Deepak L. Bhatt, MD, MPH, Michael Belkin, MD, C. Keith Ozaki, MD, Mohamad A. Hussain, MD, PhD
Publikováno v:
Annals of Surgery Open, Vol 3, Iss 3, p e199 (2022)
Objective:. We sought to confirm and extend the understanding of clinical outcomes following creation of a common distal autogenous access, the radiocephalic arteriovenous fistula (RCAVF). Background:. Interdisciplinary guidelines recommend distal au
Externí odkaz:
https://doaj.org/article/9882ae6e3dda4c22b799d842d809199f
Autor:
James J. Fitzgibbon, Patrick Heindel, Jessica D. Feliz, Eva Rouanet, Winona Wu, Cindy Huynh, Dirk M. Hentschel, Michael Belkin, C. Keith Ozaki, Mohamad A. Hussain
Publikováno v:
Journal of Vascular Surgery. 77:1788-1796
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::106434e010a955f40fc7420f58598aad
https://doi.org/10.1016/j.jvs.2023.02.002
https://doi.org/10.1016/j.jvs.2023.02.002
Autor:
Behnood Bikdeli, Ying-Chih Lo, Candrika D. Khairani, Antoine Bejjani, David Jimenez, Stefano Barco, Shiwani Mahajan, César Caraballo, Eric A. Secemsky, Frederikus A. Klok, Andetta R. Hunsaker, Ayaz Aghayev, Alfonso Muriel, Yun Wang, Mohamad A. Hussain, Abena Appah-Sampong, Yuan Lu, Zhenqiu Lin, Sanjay Aneja, Rohan Khera, Samuel Z. Goldhaber, Li Zhou, Manuel Monreal, Harlan M. Krumholz, Gregory Piazza
Publikováno v:
Thrombosis and Haemostasis. 123:649-662
Background Contemporary pulmonary embolism (PE) research, in many cases, relies on data from electronic health records (EHRs) and administrative databases that use International Classification of Diseases (ICD) codes. Natural language processing (NLP
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b220bb35023797d4463ad90f6f1abd8e
https://doi.org/10.1055/a-2039-3222
https://doi.org/10.1055/a-2039-3222
Publikováno v:
Journal of Vascular Surgery Cases and Innovative Techniques, Vol 7, Iss 2, Pp 247-248 (2021)
Externí odkaz:
https://doaj.org/article/7cb4873d179849af8c4c389331345107