Prediction of Spontaneous Breathing Trial Outcome in Critically Ill-Ventilated Patients Using Deep Learning: Development and Verification Study
- DOI
- 10.2196/64592
- Published
- 2025-05-21
- Container
- JMIR Medical Informatics
- Publisher
- JMIR Publications Inc.
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.2196/64592,
title = {Prediction of Spontaneous Breathing Trial Outcome in Critically Ill-Ventilated Patients Using Deep Learning: Development and Verification Study},
author = {Hui-Chiao Yang and Angelica Te-Hui Hao and Shih-Chia Liu and Yu-Cheng Chang and Yao-Te Tsai and Shao-Jen Weng and Ming-Cheng Chan and Chen-Yu Wang and Yeong-Yuh Xu},
year = {2025},
journal = {JMIR Medical Informatics},
doi = {10.2196/64592},
url = {https://doi.org/10.2196/64592}
}RIS
TY - JOUR TI - Prediction of Spontaneous Breathing Trial Outcome in Critically Ill-Ventilated Patients Using Deep Learning: Development and Verification Study AU - Hui-Chiao Yang AU - Angelica Te-Hui Hao AU - Shih-Chia Liu AU - Yu-Cheng Chang AU - Yao-Te Tsai AU - Shao-Jen Weng AU - Ming-Cheng Chan AU - Chen-Yu Wang AU - Yeong-Yuh Xu PY - 2025 JO - JMIR Medical Informatics DO - 10.2196/64592 UR - https://doi.org/10.2196/64592 ER -
APA
Yang, H., Hao, A. T., Liu, S., Chang, Y., Tsai, Y., Weng, S., Chan, M., Wang, C., & Xu, Y. (2025). Prediction of Spontaneous Breathing Trial Outcome in Critically Ill-Ventilated Patients Using Deep Learning: Development and Verification Study. JMIR Medical Informatics. https://doi.org/10.2196/64592
Source records
- crossref · retrieved 2026-09-25T03:59:57.701Z