• Support Vector Machines: Techn...

*Result*: Support Vector Machines: Techniques and Applications.

Title:
Support Vector Machines: Techniques and Applications.
Authors:
Pruneski JA; Department of Orthopaedic Surgery, Tripler Army Medical Center, 1 Jarrett White Road, Honolulu, HI 96859, USA. Electronic address: https://twitter.com/PruneskiJ., Pareek A; Sports Medicine and Shoulder Service, Department of Orthopedic Surgery & Sports Medicine, Hospital for Special Surgery, 525 East 71st Street, New York, NY 10021, USA. Electronic address: ayooshp@gmail.com.
Source:
Hand clinics [Hand Clin] 2026 Feb; Vol. 42 (1), pp. 19-25. Date of Electronic Publication: 2025 Sep 18.
Publication Type:
Journal Article; Review
Language:
English
Journal Info:
Publisher: W.B. Saunders Country of Publication: United States NLM ID: 8510415 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1558-1969 (Electronic) Linking ISSN: 07490712 NLM ISO Abbreviation: Hand Clin Subsets: MEDLINE
Imprint Name(s):
Original Publication: Philadelphia : W.B. Saunders, c1985-
MeSH Terms:
Support Vector Machine*, Humans
Contributed Indexing:
Keywords: Artificial intelligence; Machine learning; Orthopedic; Plastic; Support vector machine; Surgery
Entry Date(s):
Date Created: 20251108 Date Completed: 20251112 Latest Revision: 20251205
Update Code:
20260130
DOI:
10.1016/j.hcl.2025.08.003
PMID:
41206185
Database:
MEDLINE

*Further Information*

*Support vector machines (SVMs) are widely utilized in health care research for tasks such as classification, regression, and outlier detection. These models function by developing hyperplanes that maximize the separation between different classes in a feature space, enabling accurate prediction and classification. SVMs are classified into linear, nonlinear (eg, kernel-based), and multiclass variations. Several orthopedic and plastic surgery studies have found success in using SVMs for diagnosis and outcome prediction. While their robustness makes them effective for high-dimensional datasets, SVMs are not without limitations, and future work will be of benefit to strengthen an already powerful and popular technique.
(Copyright © 2025 Elsevier Inc. All rights reserved.)*

*Disclosures The authors have nothing to disclose.*