Predicting hearing recovery following treatment of idiopathic sudden sensorineural hearing loss with machine learning models.

Journal: American journal of otolaryngology
PMID: 33445040

Abstract

PURPOSE: Idiopathic sudden sensorineural hearing loss (ISSHL) is an emergency otological disease, and its definite prognostic factors remain unclear. This study applied machine learning methods to develop a new ISSHL prognosis prediction model.

Authors

  • Taewoong Uhm
    Department of Statistics, Pukyong National University, Busan, Republic of Korea.
  • Jae Eun Lee
    Department of Statistics, Pukyong National University, Busan, Republic of Korea.
  • Seongbaek Yi
    Department of Statistics, Pukyong National University, Busan, Republic of Korea.
  • Sung Won Choi
    Division of Hematology/Oncology, Department of Pediatrics, University of Michigan, Ann Arbor, MI.
  • Se Joon Oh
    Department of Otorhinolaryngology-Head and Neck Surgery, Pusan National University College of Medicine, Pusan National University Hospital, Busan, Republic of Korea.
  • Soo Keun Kong
    Department of Otorhinolaryngology-Head and Neck Surgery, Pusan National University College of Medicine, Pusan National University Hospital, Busan, Republic of Korea.
  • Il Woo Lee
    Department of Otorhinolaryngology-Head and Neck Surgery, Pusan National University College of Medicine, Pusan National University Yangsan Hospital, Yangsan, Republic of Korea.
  • Hyun Min Lee
    Department of Otorhinolaryngology-Head and Neck Surgery, Pusan National University College of Medicine, Pusan National University Yangsan Hospital, Yangsan, Republic of Korea. Electronic address: enthmlee@gmail.com.

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