Predicting Postoperative Cochlear Implant Performance Using Supervised Machine Learning-Reference-Cited by-同舟云学术

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Predicting Postoperative Cochlear Implant Performance Using Supervised Machine Learning

Published:2020-05-14 Issue:8 Volume:41 Page:e1013-e1023
ISSN:1531-7129
Container-title:Otology & Neurotology
language:en
Short-container-title:

Author:

Crowson Matthew G.,Dixon Peter,Mahmood Rafid,Lee Jong Wook,Shipp David,Le Trung,Lin Vincent,Chen Joseph,Chan Timothy C. Y.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Neurology (clinical),Sensory Systems,Otorhinolaryngology

Reference54 articles.

1. A contemporary review of machine learning in otolaryngology-head and neck surgery;Crowson;Laryngoscope,2020

2. Artificial intelligence for the Otolaryngologist: a State of the Art Review;Bur;Otolaryngol Head Neck Surg,2019

3. Cochlear implantation and quality of life in postlingually deaf adults: long-term follow-up;Damen;Otolaryngol Head Neck Surg,2007

4. Does the surgical approach in cochlear implantation influence the occurrence of postoperative vertigo?;Todt;Otolaryngol Head Neck Surg,2008

5. The effect of unilateral multichannel cochlear implant on bilaterally perceived tinnitus;Quaranta;Acta Otolaryngol,2008

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1. Standardization, Collaboration, and Education in the Implementation of Artificial Intelligence in Otolaryngology;Otolaryngologic Clinics of North America;2024-10

2. Using Machine Learning and Multifaceted Preoperative Measures to Predict Adult Cochlear Implant Outcomes: A Prospective Pilot Study;Ear & Hearing;2024-09-06

3. Machine learning application in otology;Auris Nasus Larynx;2024-08

4. Recent advances in Otology: Current landscape and future direction;Auris Nasus Larynx;2024-06

5. Artificial intelligence approaches for tinnitus diagnosis: leveraging high-frequency audiometry data for enhanced clinical predictions;Frontiers in Artificial Intelligence;2024-05-07

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