Optimizing patient monitoring to prevent clinical deterioration in surgical wards using machine learning.
Publication
, Journal Article
Jung, JJ; Pou-Prom, C; Mamdani, M
Published in: Am J Surg
July 2025
Duke Scholars
Published In
Am J Surg
DOI
EISSN
1879-1883
Publication Date
July 2025
Volume
245
Start / End Page
116138
Location
United States
Related Subject Headings
- Surgery
- 3203 Dentistry
- 3202 Clinical sciences
- 1103 Clinical Sciences
Citation
APA
Chicago
ICMJE
MLA
NLM
Jung, J. J., Pou-Prom, C., & Mamdani, M. (2025). Optimizing patient monitoring to prevent clinical deterioration in surgical wards using machine learning. Am J Surg, 245, 116138. https://doi.org/10.1016/j.amjsurg.2024.116138
Jung, James J., Chloé Pou-Prom, and Muhammad Mamdani. “Optimizing patient monitoring to prevent clinical deterioration in surgical wards using machine learning.” Am J Surg 245 (July 2025): 116138. https://doi.org/10.1016/j.amjsurg.2024.116138.
Jung JJ, Pou-Prom C, Mamdani M. Optimizing patient monitoring to prevent clinical deterioration in surgical wards using machine learning. Am J Surg. 2025 Jul;245:116138.
Jung, James J., et al. “Optimizing patient monitoring to prevent clinical deterioration in surgical wards using machine learning.” Am J Surg, vol. 245, July 2025, p. 116138. Pubmed, doi:10.1016/j.amjsurg.2024.116138.
Jung JJ, Pou-Prom C, Mamdani M. Optimizing patient monitoring to prevent clinical deterioration in surgical wards using machine learning. Am J Surg. 2025 Jul;245:116138.
Published In
Am J Surg
DOI
EISSN
1879-1883
Publication Date
July 2025
Volume
245
Start / End Page
116138
Location
United States
Related Subject Headings
- Surgery
- 3203 Dentistry
- 3202 Clinical sciences
- 1103 Clinical Sciences