Machine learning‐based model for prediction of outcomes in palatal surgery for obstructive sleep apnoea-Reference-Cited by-同舟云学术

Machine learning‐based model for prediction of outcomes in palatal surgery for obstructive sleep apnoea

Published:2021-07 Issue:6 Volume:46 Page:1242-1246
ISSN:1749-4478
Container-title:Clinical Otolaryngology
language:en
Short-container-title:Clin Otolaryngol

Author:

Yang Seong J.¹,Kim Jong Seung²³⁴^ORCID,Chung Sang Keun⁴⁵,Song Yong Yun⁶

Affiliation:

1. Department of Statistics (Institute of Applied Statistics) Jeonbuk National University Jeonju Republic of Korea

2. Department of Medical Informatics College of Medicine Jeonbuk National University Jeonju Republic of Korea

3. Department of Otorhinolaryngology‐Head and Neck Surgery College of Medicine Jeonbuk National University Jeonju Republic of Korea

4. Research Institute of Clinical Medicine of Jeonbuk National University Biomedical Research Institute of Jeonbuk National University Hospital Jeonju Republic of Korea

5. Department of Psychiatry College of Medicine Jeonbuk National University Jeonju Republic of Korea

6. Department of Ophthalmology Konyang University Hospital Daejeon Republic of Korea

Publisher

Wiley

Subject

Otorhinolaryngology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/coa.13823

Reference10 articles.

1. The Efficacy of Surgical Modifications of the Upper Airway in Adults With Obstructive Sleep Apnea Syndrome

2. Interpreting neural network connection weights;Garson DG;AI Expert,1991

3. Regularization Paths for Generalized Linear Models via Coordinate Descent

4. Association between mental illness and COVID-19 susceptibility and clinical outcomes in South Korea: a nationwide cohort study

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