Machine Learning Model Development with K-Nearest Neighbor Missing Value Imputation for Prognosis Prediction of Patients with Sudden Sensorineural Hearing Loss-Reference-Cited by-同舟云学术

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Machine Learning Model Development with K-Nearest Neighbor Missing Value Imputation for Prognosis Prediction of Patients with Sudden Sensorineural Hearing Loss

Published:2024 Issue: Volume: Page:
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Author:

Jin Yabin,Li Meige,Li Minghong,Fan Hao,Gong Haiyan,Chen Wencong,Zhang Minghao,Yu Youjun,Luo Wei,Zhang Xiaotong

Publisher

Elsevier BV

Reference25 articles.

1. Clinical Practice Guideline: Sudden Hearing Loss (Update) Executive Summary;S S Chandrasekhar;Otolaryngol Head Neck Surg,2019

2. Diagnosis, differential diagnosis, and treatment for sudden sensorineural hearing loss: Current otolaryngology practices in China;N Chen;Front Neurol,2023

3. Clinical, etiological and progression factors of hearing in sudden deafness;O Penido Nde;Braz J Otorhinolaryngol,2005

4. Cardiovascular Risk Factors in Patients With Sudden Sensorineural Hearing Loss: A Systematic Review and Meta-analysis;E S Saba;Otolaryngol Head Neck Surg,2023

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