Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Hoa N. Chau"'
Autor:
Tuan D. Tran, Phuc M. Vu, Hong T.M. Pham, Luan N. Au, Hung P. Do, Hoa T.T. Doan, Nghia Huynh, Quynh T.V. Huynh, Bao K. Le, Dat Q. Ngo, Hanh T.M. Nguyen, Khanh D. Nguyen, Nghia A. Nguyen, Phong H. Nguyen, Tuan A. Nguyen, Thang C. Tran, Hoa N. Chau, Lan N. Vuong, Nu V. Vu
Publikováno v:
The Lancet Regional Health. Western Pacific, Vol 27, Iss , Pp 100543- (2022)
Summary: The competency-based undergraduate curriculum reform at the University of Medicine and Pharmacy at Ho Chi Minh City, Faculty of Medicine (UMP-FM) is detailed and reviewed in reference to the instructional and institutional reforms, and enabl
Externí odkaz:
https://doaj.org/article/4d76abed95c447ce9e76b0ea0c24b476
Autor:
Vien T. Truong, Binh P. Nguyen, Thanh-Hoang Nguyen-Vo, Wojciech Mazur, Eugene S. Chung, Cassady Palmer, Justin T. Tretter, Tarek Alsaied, Vy T. Pham, Huan Q. Do, Phuong T. N. Do, Vinh N. Pham, Ban N. Ha, Hoa N. Chau, Tuyen K. Le
Publikováno v:
The International Journal of Cardiovascular Imaging. 38:1007-1015
Autor:
Vien T, Truong, Binh P, Nguyen, Thanh-Hoang, Nguyen-Vo, Wojciech, Mazur, Eugene S, Chung, Cassady, Palmer, Justin T, Tretter, Tarek, Alsaied, Vy T, Pham, Huan Q, Do, Phuong T N, Do, Vinh N, Pham, Ban N, Ha, Hoa N, Chau, Tuyen K, Le
Publikováno v:
The international journal of cardiovascular imaging.
There is a growing body of literature supporting the utilization of machine learning (ML) to improve diagnosis and prognosis tools of cardiovascular disease. The current study was to investigate the impact that the ML framework may have on the sensit
Autor:
Huan Q. Do, Tam N M Ngo, Binh P. Nguyen, Tuyen K. Le, Michael D. Taylor, Philip T. Levy, Thanh K.N. Pham, Vien T. Truong, Quoc Bui, Eugene Chung, Phuong Trong Do, Justin T. Tretter, Thanh-Hoang Nguyen-Vo, Vinh N. Pham, Hoa N. Chau, Wojciech Mazur
Publikováno v:
Journal of the American College of Cardiology. 75:648
This study sought to develop a machine learning framework to predict the presence or absence of congenital heart disease using fetal echocardiography. The study population was derived from a database of 3910 singleton fetuses which were scanned prosp