Development of a Predictive Model for Survival Over Time in Patients With Out-of-Hospital Cardiac Arrest Using Ensemble-Based Machine Learning

Author Affiliations: Red Cross College of Nursing (Mr Choi and Dr Son) and Department of Artificial Intelligence (Dr C. Lee), Chung-Ang University, Seoul; and Department of Preventive Medicine, College of Medicine (Drs Chun and Seol), and College of Nursing, Institute of Health Science Research (Dr Y.M. Lee), Inje University, Busan, South Korea.

C.L. is supported through the IITP grant funded by the Korea government (MSIT) (No. 2021-0-01341, AI Graduate School Program, CAU). For the remaining authors, none was declared.

The authors have disclosed that they have no significant relationships with, or financial interest in, any commercial companies pertaining to this article.

Author Contributions: All authors have made a significant contribution to works described, sufficient to warrant being listed within the authorship list and have been involved in the drafting and development of this final manuscript. Conceptualization, CHJ and SYJ; Methodology, CJH, SR, LYM, CHJ, CL, and SYJ; Software, validation and formal analysis, CHJ and CL; Writing-original draft, CHJ and SYJ; Writing-Review & Editing: CHJ, CL and SYJ; Supervision, CL and SYJ.

The data that support the findings of this study are available from the corresponding author upon reasonable request.

Corresponding author: Youn-Jung Son, PhD, RN, CCAPN, Red Cross College of Nursing, Chung-Ang University, 84 Heukseok ro, Dongjak-gu, Seoul 06974, South Korea ([email protected]).

Supplemental digital content is available for this article. Direct URL citations appear in the printed text and are provided in the HTML and PDF versions of this article on the journal’s Web site (www.cinjournal.com).

留言 (0)

沒有登入
gif