Demographic and Symptomatic Features of Voice Disorders and Their Potential Application in Classification Using Machine Learning Algorithms.

Journal: Folia phoniatrica et logopaedica : official organ of the International Association of Logopedics and Phoniatrics (IALP)
PMID: 30184538

Abstract

BACKGROUND: Studies have used questionnaires of dysphonic symptoms to screen voice disorders. This study investigated whether the differential presentation of demographic and symptomatic features can be applied to computerized classification.

Authors

  • Sheng-Yang Tsui
    Department of Electrical Engineering, National Taiwan University, Taipei, Taiwan.
  • Yu Tsao
  • Chii-Wann Lin
    Biomedical Technology and Device Research Laboratories, Industrial Technology Research Institute, Hsinchu, Taiwan.
  • Shih-Hau Fang
    Department of Electrical Engineering, Yuan Ze University, Taoyuan, Taiwan.
  • Feng-Chuan Lin
    Department of Otolaryngology Head and Neck Surgery, Far Eastern Memorial Hospital, Taipei, Taiwan.
  • Chi-Te Wang
    Department of Otolaryngology Head and Neck Surgery, Far Eastern Memorial Hospital, Taipei, Taiwan.

Keywords

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