Machine learning approach to predict postoperative pain after spinal morphine administration during caesarean delivery
Future research will aim to refine these models and explore their implementation in clinical settings to enhance real-time pain management and risk stratification for women after caesarean delivery.
Authors
- Shang-Ming Cheng
- Chin Wen Tan (ORCID: https://orcid.org/0000-0002-0263-6657)
- Jin Woo Koh
- Ban Leong Sng (ORCID: https://orcid.org/0000-0001-5374-4271)
- Haojie Jin (ORCID: https://orcid.org/0000-0001-7460-4374)
- Nian-Lin Reena Han
- Andy Wee An Ta
- Han Leong Goh
Institutions
- Synopsys (Switzerland) (CH)
- KK Women's and Children's Hospital (SG)
- Duke-NUS Medical School (SG)
Publication Details
- Journal
- Heliyon
- Published
- 2024-11-22
- DOI
- https://doi.org/10.1016/j.heliyon.2024.e40602
- Citations
- 3
- Primary Topic
- Anesthesia and Pain Management
- Type
- article
- Field-Weighted Citation Impact
- 1.72