Peer-reviewedCC BYJournal of clinical medicine
The Course of Nasolabial Angle Loss After Rhinoplasty and Prediction of Late Outcome Using Machine Learning: A Proof-of-Concept Study
- 1Department of Otorhinolaryngology and Head and Neck Surgery, Faculty of Medicine, Amasya University, Amasya 05100, Türkiye;
- 2Department of Mechanical Engineering, Faculty of Engineering, Amasya University, Amasya 05100, Türkiye
- 3Department of Otorhinolaryngology and Head and Neck Surgery, Kolmed Private Hospital, Amasya 05100, Türkiye
Related
- Traditional Machine Learning versus Deep Learning Approaches for Multi-Outcome Perioperative Risk Prediction
- Prognostic Modeling of Lysosomal Cell Death Signatures in Lung Adenocarcinoma: A Machine Learning Framework for Survival Outcome Prediction
- Multiparametric MRI radiomics and machine learning for outcome prediction in acute ischemic stroke: a retrospective study of 353 patients
- Cross-cultural adaptation, validation, and arabic translation of the rhinoplasty outcome evaluation
- Machine Learning for Clinical Outcome Prediction After Transcatheter Aortic Valve Replacement: A Systematic Review and Meta-Analysis of Predictive Performance, Validation, and Clinical Readiness
BibTeX
@article{seyhan2026course,
title = {{The Course of Nasolabial Angle Loss After Rhinoplasty and Prediction of Late Outcome Using Machine Learning: A Proof-of-Concept Study}},
author = {Sinan Seyhan and Levent Uğur and Mehmet Mustafa Erdoğan},
journal = {Journal of clinical medicine},
year = {2026},
month = sep,
url = {https://europepmc.org/article/PMC/PMC13665720},
note = {CC BY},
}
RIS
TY - JOUR
TI - The Course of Nasolabial Angle Loss After Rhinoplasty and Prediction of Late Outcome Using Machine Learning: A Proof-of-Concept Study
AU - Sinan Seyhan
AU - Levent Uğur
AU - Mehmet Mustafa Erdoğan
PY - 2026
DA - 2026/09/25
JO - Journal of clinical medicine
UR - https://europepmc.org/article/PMC/PMC13665720
SN - 2077-0383
ER -