This site needs JavaScript to work properly. Please enable it to take advantage of the complete set of features!

Skip to main page content

Add to Collections

Your saved search

Name of saved search:

Search terms:

Test search terms

Would you like email updates of new search results?

Yes
No

Email: (change)

Frequency:

Which day?

Which day?

Report format:

Send at most:

Send even when there aren't any new results

Optional text in email:

Your RSS Feed

Editorial

. 2023 Nov;164(5):754-757.

doi: 10.1016/j.ajodo.2023.08.003.

Support vector machines

Dirk Valkenborg¹, Axel-Jan Rousseau¹, Melvin Geubbelmans¹, Tomasz Burzykowski²

Affiliations

Affiliations

¹ Data Science Institute and Center for Statistics, Hasselt University, Hasselt, Belgium; Department of Biostatistics and Medical Informatics, Medical University of Bialystok, Bialystok, Poland.
² Data Science Institute and Center for Statistics, Hasselt University, Hasselt, Belgium; Department of Biostatistics and Medical Informatics, Medical University of Bialystok, Bialystok, Poland. Electronic address: tomasz.burzykowski@uhasselt.be.

PMID: 37914440
DOI: 10.1016/j.ajodo.2023.08.003

Editorial

Support vector machines

Dirk Valkenborg et al. Am J Orthod Dentofacial Orthop. 2023 Nov.

. 2023 Nov;164(5):754-757.

doi: 10.1016/j.ajodo.2023.08.003.

Authors

Dirk Valkenborg¹, Axel-Jan Rousseau¹, Melvin Geubbelmans¹, Tomasz Burzykowski²

Affiliations

¹ Data Science Institute and Center for Statistics, Hasselt University, Hasselt, Belgium; Department of Biostatistics and Medical Informatics, Medical University of Bialystok, Bialystok, Poland.
² Data Science Institute and Center for Statistics, Hasselt University, Hasselt, Belgium; Department of Biostatistics and Medical Informatics, Medical University of Bialystok, Bialystok, Poland. Electronic address: tomasz.burzykowski@uhasselt.be.

PMID: 37914440
DOI: 10.1016/j.ajodo.2023.08.003

No abstract available

PubMed Disclaimer

Similar articles

[Comparative Efficiency of Algorithms Based on Support Vector Machines for Regression].
Kadyrova NO, Pavlova LV. Kadyrova NO, et al. Biofizika. 2015 Nov-Dec;60(6):1085-98. Biofizika. 2015. PMID: 26841501 Russian.
TWSVR: Regression via Twin Support Vector Machine.
Khemchandani R, Goyal K, Chandra S. Khemchandani R, et al. Neural Netw. 2016 Feb;74:14-21. doi: 10.1016/j.neunet.2015.10.007. Epub 2015 Nov 3. Neural Netw. 2016. PMID: 26624223
Gene Classification Based on Multi-Class SVMs with Systematic Sampling and Hierarchical Clustering (SSHC) Algorithm.
Mohammed NN. Mohammed NN. Adv Exp Med Biol. 2021;1338:231-237. doi: 10.1007/978-3-030-78775-2_28. Adv Exp Med Biol. 2021. PMID: 34973030
New Machine Learning Applications to Accelerate Personalized Medicine in Breast Cancer: Rise of the Support Vector Machines.
Ozer ME, Sarica PO, Arga KY. Ozer ME, et al. OMICS. 2020 May;24(5):241-246. doi: 10.1089/omi.2020.0001. Epub 2020 Mar 31. OMICS. 2020. PMID: 32228365 Review.
Three simple steps to improve the interpretability of EEG-SVM studies.
Joucla C, Gabriel D, Ortega JP, Haffen E. Joucla C, et al. J Neurophysiol. 2022 Dec 1;128(6):1375-1382. doi: 10.1152/jn.00221.2022. Epub 2022 Sep 28. J Neurophysiol. 2022. PMID: 36169205 Review.

See all similar articles

Cited by

Analysis of the fatigue status of medical security personnel during the closed-loop period using multiple machine learning methods: a case study of the Beijing 2022 Olympic Winter Games.
Xiao H, Tian Y, Gao H, Cui X, Dong S, Xue Q, Yao D. Xiao H, et al. Sci Rep. 2024 Apr 18;14(1):8987. doi: 10.1038/s41598-024-59397-6. Sci Rep. 2024. PMID: 38637575 Free PMC article.
Construction of a risk prediction model for occupational noise-induced hearing loss using routine blood and biochemical indicators in Shenzhen, China: a predictive modelling study.
Li C, Shi L, Chen L, Lin D, Yang X, Li P, Zhang W, Feng W, Guo Y, Zhou L, Zhang N, Wang D. Li C, et al. BMJ Open. 2025 Apr 28;15(4):e097249. doi: 10.1136/bmjopen-2024-097249. BMJ Open. 2025. PMID: 40295130 Free PMC article.
Development and validation of radiomics model for MRI-based identification of anterior talofibular ligament injuries.
Chen TX, Wu JY, Yang TJ, Chen G, Li Y, Zhang L. Chen TX, et al. Sci Rep. 2025 May 4;15(1):15575. doi: 10.1038/s41598-025-99813-z. Sci Rep. 2025. PMID: 40320488 Free PMC article.
Development and Validation of an Interpretable Machine Learning Model for Prediction of the Risk of Clinically Ineffective Reperfusion in Patients Following Thrombectomy for Ischemic Stroke.
Hu X, Qi D, Li S, Ye S, Chen Y, Cao W, Du M, Zheng T, Li P, Fang Y. Hu X, et al. Ther Clin Risk Manag. 2025 May 3;21:621-631. doi: 10.2147/TCRM.S520362. eCollection 2025. Ther Clin Risk Manag. 2025. PMID: 40336699 Free PMC article.
Identification of Dendrobium Using Laser-Induced Breakdown Spectroscopy in Combination with a Multivariate Algorithm Model.
Zhang T, Liu Z, Ma Q, Hu D, Dai Y, Zhang X, Zhou Z. Zhang T, et al. Foods. 2024 May 27;13(11):1676. doi: 10.3390/foods13111676. Foods. 2024. PMID: 38890910 Free PMC article.

See all "Cited by" articles

Publication types

Actions

MeSH terms

Actions
Actions
Actions

LinkOut - more resources

Full Text Sources