Open AccessMachine Learning Technique Reveals Prognostic Factors of Vibrant Soundbridge for Conductive or Mixed Hearing Loss Patients
Author(s) -
Hajime Koyama,
Anjin Mori,
Daisuke Nagatomi,
Takeshi Fujita,
Kazuya Saito,
Yasuhiro Osaki,
Tatsuya Yamasoba,
Kunio Doi
Publication year - 2021
Publication title -
otology and neurotology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.147
H-Index - 104
eISSN - 1537-4505
pISSN - 1531-7129
DOI - 10.1097/mao.0000000000003271
Subject(s) - medicine , context (archaeology) , hearing loss , random forest , audiology , retrospective cohort study , surgery , machine learning , biology , paleontology , computer science
Vibrant Soundbridge (VSB) was developed for treatment of hearing loss, but clinical outcomes vary and prognostic factors predicting the success of the treatment remain unknown. We examined clinical outcomes of VSB for conductive or mixed hearing loss, prognostic factors by analyzing prediction models, and cut-off values to predict the outcomes.