Machine learning model based on radiomics features for AO/OTA classification of pelvic fractures on pelvic radiographs

Jun Young Park; Seung Hwan Lee; Young Jae Kim; Kwang Gi Kim; Gil Jae Lee

doi:10.1371/journal.pone.0304350

Loading metrics

Open Access

Peer-reviewed

Research Article

Machine learning model based on radiomics features for AO/OTA classification of pelvic fractures on pelvic radiographs

Jun Young Park ,

Contributed equally to this work with: Jun Young Park, Seung Hwan Lee

Roles Validation, Writing – original draft

Affiliation Department of Health Sciences and Technology, Gachon Advanced Institute for Health Sciences and Technology (GAIHST), Gachon University, Incheon, Republic of Korea
⨯
Seung Hwan Lee ,

Contributed equally to this work with: Jun Young Park, Seung Hwan Lee

Roles Formal analysis, Resources

Affiliations Department of Trauma Surgery, Gachon University Gil Medical Center, Gachon University, Incheon, Republic of Korea, Department of Traumatology, Gachon University College of Medicine, Gachon University, Incheon, Republic of Korea
⨯
Young Jae Kim,

Roles Methodology, Project administration

Affiliations Department of Health Sciences and Technology, Gachon Advanced Institute for Health Sciences and Technology (GAIHST), Gachon University, Incheon, Republic of Korea, Department of Medical Devices R&D Center, Gachon University Gil Medical Center, Gachon University, Incheon, Republic of Korea, Department of Biomedical Engineering, Pre-medical Course, College of Medicine, Gachon University, Incheon, Republic of Korea

https://orcid.org/0000-0003-0443-0051

⨯
Kwang Gi Kim ,

Roles Data curation, Methodology

* E-mail: kimkg@gachon.ac.kr (KGK); nonajugi@gilhospital.com (GJL)

Affiliations Department of Health Sciences and Technology, Gachon Advanced Institute for Health Sciences and Technology (GAIHST), Gachon University, Incheon, Republic of Korea, Department of Medical Devices R&D Center, Gachon University Gil Medical Center, Gachon University, Incheon, Republic of Korea, Department of Biomedical Engineering, Pre-medical Course, College of Medicine, Gachon University, Incheon, Republic of Korea

https://orcid.org/0000-0001-9714-6038

⨯
Gil Jae Lee

Roles Data curation, Resources

* E-mail: kimkg@gachon.ac.kr (KGK); nonajugi@gilhospital.com (GJL)

Affiliations Department of Trauma Surgery, Gachon University Gil Medical Center, Gachon University, Incheon, Republic of Korea, Department of Traumatology, Gachon University College of Medicine, Gachon University, Incheon, Republic of Korea
⨯

Machine learning model based on radiomics features for AO/OTA classification of pelvic fractures on pelvic radiographs

Jun Young Park,
Seung Hwan Lee,
Young Jae Kim,
Kwang Gi Kim,
Gil Jae Lee

Published: May 30, 2024
https://doi.org/10.1371/journal.pone.0304350

Reader Comments (0)

Post a new comment on this article

Subject Areas
?

For more information about PLOS Subject Areas, click here.
We want your feedback. Do these Subject Areas make sense for this article? Click the target next to the incorrect Subject Area and let us know. Thanks for your help!

Machine learning
Is the Subject Area "Machine learning" applicable to this article?

Thanks for your feedback.
Bone fracture
Is the Subject Area "Bone fracture" applicable to this article?

Thanks for your feedback.
X-ray radiography
Is the Subject Area "X-ray radiography" applicable to this article?

Thanks for your feedback.
Support vector machines
Is the Subject Area "Support vector machines" applicable to this article?

Thanks for your feedback.
Machine learning algorithms
Is the Subject Area "Machine learning algorithms" applicable to this article?

Thanks for your feedback.
Computed axial tomography
Is the Subject Area "Computed axial tomography" applicable to this article?

Thanks for your feedback.
Osteoporosis
Is the Subject Area "Osteoporosis" applicable to this article?

Thanks for your feedback.
Skeletal joints
Is the Subject Area "Skeletal joints" applicable to this article?

Thanks for your feedback.