Machine Learning–Based Prediction of Delirium and Risk Factor Identification in Intensive Care Unit Patients With Burns: Retrospective Observational Study
This study demonstrated the ability of machine learning models trained using vital signs and blood data upon ICU admission to predict delirium in patients with burns during their ICU stay.
Authors
- Atsuya Hane (ORCID: https://orcid.org/0009-0007-1299-8073)
- Fumito Okuno (ORCID: https://orcid.org/0009-0004-5158-6184)
- Kaoru Ikejiri (ORCID: https://orcid.org/0000-0002-0801-9457)
- Ryo Momosaki (ORCID: https://orcid.org/0000-0003-3274-3952)
- Ryuji Kaku (ORCID: https://orcid.org/0000-0002-2555-5841)
- Yuichi Akama (ORCID: https://orcid.org/0000-0002-7040-1307)
- Motomu Shimaoka (ORCID: https://orcid.org/0000-0003-1930-3397)
- Asami Ito-Masui (ORCID: https://orcid.org/0000-0002-2086-4231)
- Hiroki Funao (ORCID: https://orcid.org/0009-0009-4784-2540)
- Eiji Kawamoto (ORCID: https://orcid.org/0000-0003-3920-9939)
- Eun Jeong Park (ORCID: https://orcid.org/0000-0002-4288-5893)
- Toru Shinkai (ORCID: https://orcid.org/0000-0002-9474-1541)
- Ryota Sakamoto (ORCID: https://orcid.org/0000-0003-0411-856X)
- Ryo Esumi (ORCID: https://orcid.org/0000-0003-4954-9750)
- Arong Gaowa (ORCID: https://orcid.org/0000-0003-0127-2369)
Institutions
- Mie University (JP)
- Mie University Hospital (JP)
Publication Details
- Journal
- JMIR Formative Research
- Published
- 2025-02-03
- DOI
- https://doi.org/10.2196/65190
- Citations
- 4
- Primary Topic
- Intensive Care Unit Cognitive Disorders
- Type
- article
- Field-Weighted Citation Impact
- 6.18