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Predictive modeling of maneuver numbers in BPPV therapy using machine learning

Journal of Vestibular Research Equilibrium Orientation · Mart 2026

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YÖKSİS Kayıtları
Predictive modeling of maneuver numbers in BPPV therapy using machine learning
Journal of Vestibular Research · 2025 SCI
ARAŞTIRMA GÖREVLİSİ KÜBRA BİNAY BOLAT →

Makale Bilgileri

DergiJournal of Vestibular Research Equilibrium Orientation
Yayın TarihiMart 2026
Cilt / Sayfa36 · 119-129
DOI10.1177/09574271251351905
Scopus ID2-s2.0-105029676227
Özet ObjectiveSome patients with benign paroxysmal positional vertigo (BPPV) do not improve with a single maneuver and may require multiple maneuvers. This study aims to utilize machine learning (ML) to identify parameters predisposing multiple CRMs, thus enhancing the predictability of treatment requirements in BPPV patients.Study designRetrospective study.SettingHospital.PatientsThis study included 520 participants diagnosed with BPPV between 2018 and 2023, with a mean age of 56.2 ± 14.0 years.InterventionsAge, BPPV type, comorbid diseases, gender, and number of maneuvers that the patients recovered with were determined. The target outcome-"number of maneuvers"-was dichotomized as either one (0) or more than one (1). The models' success was evaluated using metrics such as precision, F1-score, accuracy, balanced accuracy, recall, area under the Receiver Operating Characteristic (ROC), and area under the curve (AUC).ResultsThe applied maneuver number to treat BPPV was 188 (36%) in one maneuver and 332 (67%) in more than one maneuvers. Gradient Boosting Machine (GBM) had the best AUC in maneuver number estimation. Also, logistic regression resulted the best precision score; XGBoost showed the best F1 and recall score while support vector classifier showed the best accuracy and balanced accuracy scores.ConclusionsMachine learning models with high predictive capabilities can help identify patients likely to need multiple maneuvers, allowing for more efficient treatment planning and enhanced patient outcomes.

Yazarlar (4)

1
Mine Baydan-Aran
ORCID: 0000-0003-2836-0799
2
Kübra Binay-Bolat
ORCID: 0000-0003-4340-8631
3
Emre Soylemez
ORCID: 0000-0002-7554-3048
4
Orkun Tahir Aran
ORCID: 0000-0002-5468-1302

Anahtar Kelimeler

BPPV Epley machine learning therapy vertigo

Kurumlar

Ankara Üniversitesi
Ankara Turkey
Hacettepe Üniversitesi
Ankara Turkey
Karabük Üniversitesi
Karabuk Turkey

Metrikler

1
Atıf
4
Yazar
5
Anahtar Kelime

Sistemimizdeki Yazarlar

KB
KÜBRA BİNAY BOLAT
ARAŞTIRMA GÖREVLİSİ

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