APPLICATION OF MACHINE LEARNING IN SCREENING OF CONGENITAL HEART DISEASES USING FETAL ECHOCARDIOGRAPHY

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
Rok vydání:	2020
Předmět:	medicine.diagnostic_test Heart disease Singleton business.industry 030204 cardiovascular system & hematology Machine learning computer.software_genre medicine.disease Ho chi minh 03 medical and health sciences 0302 clinical medicine medicine Population study 030212 general & internal medicine Artificial intelligence Cardiology and Cardiovascular Medicine business Fetal echocardiography computer
Zdroj:	Journal of the American College of Cardiology. 75:648
ISSN:	0735-1097
Popis:	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 prospectively at the Heart Institute, Ho Chi Minh City
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::3f3a60f4e07ee8701ed4abe0ffb361ba https://doi.org/10.1016/s0735-1097(20)31275-4 Zobrazit plný text záznamu