Crossmark

Improving prediction accuracy of hospital arrival vital signs using a multi-output machine learning model: a retrospective study of JSAS-registry data

Crossref DOI link: https://doi.org/10.1186/s12873-025-01233-9

Published Online: 2025-05-13

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Kawai, Yasuyuki

Yamamoto, Koji

Tsuruta, Keisuke

Miyazaki, Keita

Asai, Hideki

Fukushima, Hidetada
License Information

Text and Data Mining valid from 2025-05-13

Version of Record valid from 2025-05-13
More Information

Article History

Received: 27 October 2024

Accepted: 2 May 2025

First Online: 13 May 2025

Declarations

:

: This study was approved by the Ethics Committee of Nara Medical University (Approval No. 3684). The need for written informed consent was waived by the Ethics Committee because the data were anonymized. The study was conducted in accordance with the principles of the Declaration of Helsinki.

: Not applicable.

: Not applicable.

: The authors declare no competing interests.

Document is current

Any future updates will be listed below