Predicting cochlear dead regions in patients with hearing loss through a machine learning-based approach: A preliminary study

• Young-Soo Chang,

  Roles Data curation, Formal analysis, Investigation, Methodology, Project administration, Resources, Validation, Visualization, Writing – original draft, Writing – review & editing

  Affiliations Department of Otorhinolaryngology–Head and Neck Surgery, Korea University College of Medicine, Korea University Ansan Hospital, Ansan, Republic of Korea, Department of Digital Health, SAIHST, Sungkyunkwan University, Seoul, Republic of Korea

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• Heesung Park,

  Roles Data curation, Project administration, Resources

  Affiliation Hearing Research Laboratory, Samsung Medical Center, Seoul, Republic of Korea

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• Sung Hwa Hong,

  Roles Conceptualization, Data curation

  Affiliation Department of Otorhinolaryngology–Head and Neck Surgery, Samsung Changwon Hospital, Sungkyunkwan University School of Medicine, Changwon, Republic of Korea

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• Won-Ho Chung,

  Roles Conceptualization, Data curation

  Affiliation Department of Otorhinolaryngology–Head and Neck Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea

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• Yang-Sun Cho,

  Roles Conceptualization, Data curation

  Affiliation Department of Otorhinolaryngology–Head and Neck Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea

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• Il Joon Moon

  Roles Conceptualization, Supervision, Validation, Writing – review & editing

  * E-mail: moonij@skku.edu

  Affiliation Department of Otorhinolaryngology–Head and Neck Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea

  http://orcid.org/0000-0002-3613-0734

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