Binary logistic regression modeling of voice impairment and voice assessment in iranian patients with nonlaryngeal head-and-neck cancers after chemoradiation therapy: Objective and subjective voice evaluation-Reference-Cited by-同舟云学术

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Binary logistic regression modeling of voice impairment and voice assessment in iranian patients with nonlaryngeal head-and-neck cancers after chemoradiation therapy: Objective and subjective voice evaluation

Published:2023 Issue:1 Volume:13 Page:40
ISSN:2228-7477
Container-title:Journal of Medical Signals & Sensors
language:en
Short-container-title:J Med Signals Sens

Author:

Shahbazi-Gahrouei Daryoush,Bagherzadeh Sakineh,Torabinezhad Farhad,Mahdavi SeiedRabi Mehdi,Fadavi Pedram,Salmanian Soraya

Publisher

Medknow

Subject

Health Informatics,Radiology, Nuclear Medicine and imaging,Biomedical Engineering,Radiological and Ultrasound Technology,Computer Science (miscellaneous)

Reference34 articles.

1. Artificial Intelligence-based methods in head and neck cancer diagnosis: An overview;Mahmood;Br J Cancer,2021

2. Cancer and radiation therapy: Current advances and future directions;Baskar;Int J Med Sci,2012

3. Effects of chemoradiotherapy on voice and swallowing;Lazarus;Curr Opin Otolaryngol Head Neck Surg,2009

4. Reliable jitter and shimmer measurements in voice clinics: The relevance of vowel, gender, vocal intensity, and fundamental frequency effects in a typical clinical task;Brockmann;J Voice,2011

5. Pathological assessment of patients' speech signals using nonlinear dynamical analysis;Vaziri;Comput Biol Med,2010

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