Zobrazeno 1 - 1
of 1
pro vyhledávání: '"Shan Do Shin"'
Autor:
Shao-An Wang, Chih-Jung Chang, Shan Do Shin, Sheng-En Chu, Chun-Yen Huang, Li-Min Hsu, Hao-Yang Lin, Ki Jeong Hong, Sabariah Faizah Jamaluddin, Do Ngoc Son, T.V. Ramakrishnan, Wen-Chu Chiang, Jen-Tang Sun, Matthew Huei-Ming Ma, Participating Nation Investigators, Hideharu Tanaka, Bernadett Velasco, Jen Tang Sun, Pairoj Khruekarnchana, Saleh Fares, Participating Site Investigators, Ramana Rao, George P. Abraham, Mohd Amin Bin Mohidin, Al-Hilmi Saim, Lim Chee Kean, Cecilia Anthonysamy, Shah Jahan Din Mohd Yssof, Kang Wen Ji, Cheah Phee Kheng, Shamila bt Mohamad Ali, Periyanayaki Ramanathan, Chia Boon Yang, Hon Woei Chia, Hafidahwati Binti Hamad, Samsu Ambia Ismail, Wan Rasydan B. Wan Abdullah, Akio Kimura, Carlos D. Gundran, Pauline Convocar, Nerissa G. Sabarre, Patrick Joseph Tiglao, Kyoung Jun Song, Joo Jeong, Sung Woo Moon, Joo-yeong Kim, Won Chul Cha, Seung Chul Lee, Jae Yun Ahn, Kang Hyeon Lee, Seok Ran Yeom, Hyeon Ho Ryu, Su Jin Kim, Sang Chul Kim, Ray-Heng Hu, Ruei-Fang Wang, Shang-Lin Hsieh, Wei-Fong Kao, Sattha Riyapan, Parinya Tianwibool, Phudit Buaprasert, Osaree Akaraborworn, Omer Ahmed Al Sakaf, Le Bao Huy, Nguyen Van Dai
Publikováno v:
Journal of the Formosan Medical Association, Vol 123, Iss 1, Pp 23-35 (2024)
Background/Purpose: To develop a prediction model for emergency medical technicians (EMTs) to identify trauma patients at high risk of deterioration to emergency medical service (EMS)-witnessed traumatic cardiac arrest (TCA) on the scene or en route.
Externí odkaz:
https://doaj.org/article/e816f56b76be43749e3588bef558d286