Unilateral sensorineural hearing loss identification based on double-density dual-tree complex wavelet transform and multinomial logistic regression

Author:

Wang Shui-Hua123,Zhang Yu-Dong14,Yang Ming51,Liu Bin6,Ramirez Javier71,Gorriz Juan Manuel81

Affiliation:

1. School of Computer Science and Technology, Henan Polytechnic University, Jiaozuo, Henan 454000, China

2. Department of Rheumatology and Immunology Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, Jiangsu 210008, China

3. Department of Math, University of Leicester, UK

4. Department of Informatics, University of Leicester, Leicester, UK

5. Department of Radiology, Children’s Hospital of Nanjing Medical University, Nanjing 210008, China

6. Department of Radiology, Zhong-Da Hospital of Southeast University, Nanjing 210009, China

7. Department of Signal Theory, Networking and Communications, University of Granada, Spain

8. Department of Psychiatry, Robinson Way, University of Cambridge, UK

Publisher

IOS Press

Subject

Artificial Intelligence,Computational Theory and Mathematics,Computer Science Applications,Theoretical Computer Science,Software

Reference59 articles.

1. Study of prevalence and causes of hearing loss in high risk neonates admitted to neonatal ward and neonatal intensive care unit;Fakhim;Journal of International Advanced Otology,2010

2. Clinical predictors of sensorineural hearing loss and cognitive outcome in infants with symptomatic congenital cytomegalovirus infection;Pinninti;Pediatric Infectious Disease Journal,2016

3. Assessment of hearing loss and balance among adult cf patients exposed to potential ototoxic medications;Killeen;Pediatric Pulmonology,2015

4. Interactions between amplitude modulation and frequency modulation processing: Effects of age and hearing loss;Paraouty;Journal of the Acoustical Society of America,2016

5. Asymmetrical hearing loss in cases of industrial noise exposure: A systematic review of the literature;Masterson;Otology & Neurotology,2016

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