Machine Learning Predicts the Need for Surgical Intervention in Adhesive Small Bowel Obstruction
This is the first study to demonstrate that ML algorithm can predict the need for surgery in patients with ASBO. The guideline recommended period for initial NOM of 72 h seems to be reasonable. These findings can be used to develop a framework for earlier clinical decision-making in these patients.
Authors
- Satoshi Matsumoto (ORCID: https://orcid.org/0000-0003-4836-7170)
- Akihisa Matsuda (ORCID: https://orcid.org/0000-0002-6468-9375)
- Nobuyuki Sakurazawa (ORCID: https://orcid.org/0000-0002-6762-7065)
- Takeshi Yamada (ORCID: https://orcid.org/0000-0002-6490-758X)
- Tomohiko Yasuda (ORCID: https://orcid.org/0000-0001-9376-9932)
- Kumiko Sekiguchi (ORCID: https://orcid.org/0000-0003-2067-4638)
- Hideyuki Suzuki
- Fumihiko Ando (ORCID: https://orcid.org/0000-0002-8192-3055)
- Sho Kuriyama (ORCID: https://orcid.org/0000-0001-7055-8032)
- Yoichi Kawano (ORCID: https://orcid.org/0000-0002-9177-4305)
- Hiroshi Yoshida (ORCID: https://orcid.org/0000-0002-9158-6080)
Institutions
- Chiba Hokusou Hospital (JP)
- Nippon Medical School (JP)
Publication Details
- Journal
- Journal of the Anus Rectum and Colon
- Published
- 2024-10-24
- DOI
- https://doi.org/10.23922/jarc.2024-036
- Citations
- 2
- Primary Topic
- Intestinal and Peritoneal Adhesions
- Type
- article
- Field-Weighted Citation Impact
- 1.15