Determination of individual factors associated with hallux valgus using SVM-RFE
Abstract Introduction This cross-sectional study aimed to determine the factors related to hallux valgus (HV) and their importance using support vector machine-recursive feature elimination (SVM-RFE). Methods A total of 864 participants aged ≥ 18 years were enrolled. The Manchester scale was used to...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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BMC
2023-06-01
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| Series: | BMC Musculoskeletal Disorders |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12891-023-06303-2 |
| _version_ | 1827911016139194368 |
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| author | Hidetoshi Nakao Masakazu Imaoka Mitsumasa Hida Ryota Imai Misa Nakamura Kazuyuki Matsumoto Kenji Kita |
| author_facet | Hidetoshi Nakao Masakazu Imaoka Mitsumasa Hida Ryota Imai Misa Nakamura Kazuyuki Matsumoto Kenji Kita |
| author_sort | Hidetoshi Nakao |
| collection | DOAJ |
| description | Abstract Introduction This cross-sectional study aimed to determine the factors related to hallux valgus (HV) and their importance using support vector machine-recursive feature elimination (SVM-RFE). Methods A total of 864 participants aged ≥ 18 years were enrolled. The Manchester scale was used to determine the presence of HV (summed scores for both feet ≥ 4). The questionnaire included items such as age, sex, height, weight, and foot measurements. These internal factors were analyzed to determine if they are related to HV using SVM-RFE. Results The results of tenfold cross-validation using SVM-RFE revealed that the numbers of feature selections were 10, 10, and 9 for age, sex, and body weight, respectively, and these factors were shown to be related to HV. HV was found to be more common in women than in men (women, 24.9%; men, 7.6%), but the sex difference was not significant in older people. Conclusion Age and sex were found to be important factors associated with HV identified via feature selection using SVM-RFE. |
| first_indexed | 2024-03-13T01:58:20Z |
| format | Article |
| id | doaj.art-6926ccd4d32b4f7aaef620eaafab5b4f |
| institution | Directory Open Access Journal |
| issn | 1471-2474 |
| language | English |
| last_indexed | 2024-03-13T01:58:20Z |
| publishDate | 2023-06-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Musculoskeletal Disorders |
| spelling | doaj.art-6926ccd4d32b4f7aaef620eaafab5b4f2023-07-02T11:03:49ZengBMCBMC Musculoskeletal Disorders1471-24742023-06-012411710.1186/s12891-023-06303-2Determination of individual factors associated with hallux valgus using SVM-RFEHidetoshi Nakao0Masakazu Imaoka1Mitsumasa Hida2Ryota Imai3Misa Nakamura4Kazuyuki Matsumoto5Kenji Kita6Faculty of Social Work Studies, Josai International UniversitySchool of Rehabilitation, Osaka Kawasaki Rehabilitation UniversitySchool of Rehabilitation, Osaka Kawasaki Rehabilitation UniversitySchool of Rehabilitation, Osaka Kawasaki Rehabilitation UniversitySchool of Rehabilitation, Osaka Kawasaki Rehabilitation UniversitySchool of Technology, Industrial and Social Sciences, Tokushima UniversitySchool of Technology, Industrial and Social Sciences, Tokushima UniversityAbstract Introduction This cross-sectional study aimed to determine the factors related to hallux valgus (HV) and their importance using support vector machine-recursive feature elimination (SVM-RFE). Methods A total of 864 participants aged ≥ 18 years were enrolled. The Manchester scale was used to determine the presence of HV (summed scores for both feet ≥ 4). The questionnaire included items such as age, sex, height, weight, and foot measurements. These internal factors were analyzed to determine if they are related to HV using SVM-RFE. Results The results of tenfold cross-validation using SVM-RFE revealed that the numbers of feature selections were 10, 10, and 9 for age, sex, and body weight, respectively, and these factors were shown to be related to HV. HV was found to be more common in women than in men (women, 24.9%; men, 7.6%), but the sex difference was not significant in older people. Conclusion Age and sex were found to be important factors associated with HV identified via feature selection using SVM-RFE.https://doi.org/10.1186/s12891-023-06303-2Feature selectionHallux ValgusManchester ScaleSVM-RFE |
| spellingShingle | Hidetoshi Nakao Masakazu Imaoka Mitsumasa Hida Ryota Imai Misa Nakamura Kazuyuki Matsumoto Kenji Kita Determination of individual factors associated with hallux valgus using SVM-RFE BMC Musculoskeletal Disorders Feature selection Hallux Valgus Manchester Scale SVM-RFE |
| title | Determination of individual factors associated with hallux valgus using SVM-RFE |
| title_full | Determination of individual factors associated with hallux valgus using SVM-RFE |
| title_fullStr | Determination of individual factors associated with hallux valgus using SVM-RFE |
| title_full_unstemmed | Determination of individual factors associated with hallux valgus using SVM-RFE |
| title_short | Determination of individual factors associated with hallux valgus using SVM-RFE |
| title_sort | determination of individual factors associated with hallux valgus using svm rfe |
| topic | Feature selection Hallux Valgus Manchester Scale SVM-RFE |
| url | https://doi.org/10.1186/s12891-023-06303-2 |
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