Cargando…

Development and Comparison of Predictive Models Based on Different Types of Influencing Factors to Select the Best One for the Prediction of OSAHS Prevalence

OBJECTIVE: This study aims to retrospectively analyze numerous related clinical data to identify three types of potential influencing factors of obstructive sleep apnea-hypopnea syndrome (OSAHS) for establishing three predictive nomograms, respectively. The best performing one was screened to guide...

Descripción completa

Detalles Bibliográficos
Autores principales:	Fan, Xin, He, Mu, Tong, Chang, Nie, Xiyi, Zhong, Yun, Lu, Min
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2022
Materias:	Psychiatry
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9340571/ https://www.ncbi.nlm.nih.gov/pubmed/35923456 http://dx.doi.org/10.3389/fpsyt.2022.892737

Ejemplares similares

The role of platelet-related parameters for the prediction of NAFLD in OSAHS patients
por: Chen, Menglan, et al.
Publicado: (2022)

MiRNA expression profiles in healthy OSAHS and OSAHS with arterial hypertension: potential diagnostic and early warning markers
por: Yang, Xiuping, et al.
Publicado: (2018)

Strategies in the clinical diagnosis and surgical treatment of OSAHS with multilevel obstruction
por: Peng, Ben-Gang, et al.
Publicado: (2019)

OSAHS Growth Impairment and Resolution after Adenotonsillectomy in Children
por: Mistretta, Antonina, et al.
Publicado: (2022)

The Weighted Combination of the Epworth Sleepiness Scale and the STOP-Bang Questionnaire Improved the Predictive Value of for OSAHS in Hypertensive Patients
por: Sun, Dong-Sheng, et al.
Publicado: (2022)

Measuring Psychological Change and Predicting Recidivism Following the Swedish One-to-One Program
por: Berman, Anne H., et al.
Publicado: (2019)

Detection of Snore from OSAHS Patients Based on Deep Learning
por: Shen, Fanlin, et al.
Publicado: (2020)

Study on the Improvement of Behavioral and Cognitive Dysfunction of Children with OSAHS by Vitamin D
por: Cui, Panpan, et al.
Publicado: (2021)

Ensemble Learning of Convolutional Neural Network, Support Vector Machine, and Best Linear Unbiased Predictor for Brain Age Prediction: ARAMIS Contribution to the Predictive Analytics Competition 2019 Challenge
por: Couvy-Duchesne, Baptiste, et al.
Publicado: (2020)

Correlation between the Friedman Classification and the Apnea-Hypopnea Index in a population with OSAHS
por: Rodrigues, Marcos Marques, et al.
Publicado: (2015)

Prevalence and correlates of suicide attempts in Chinese individuals with borderline personality disorder
por: Yang, Fan, et al.
Publicado: (2022)

Influencing Factors and Machine Learning-Based Prediction of Side Effects in Psychotherapy
por: Yao, Lijun, et al.
Publicado: (2020)

The perception of Obstructive Sleep Apnoea/Hypopnoea Syndrome (OSAHS) among Italian general practitioners
por: Lombardi, Carlo, et al.
Publicado: (2015)

Study on the Changes of Liver and Kidney Function-Related Indicators and Clinical Significance in Patients with OSAHS
por: Liu, Rongyue, et al.
Publicado: (2022)

The Effects of Orofacial Myofunctional Therapy on Children with OSAHS’s Craniomaxillofacial Growth: A Systematic Review
por: Liu, Yue, et al.
Publicado: (2023)

Prediction of Selective Serotonin Reuptake Inhibitor Response Using Diffusion-Weighted MRI
por: DeLorenzo, Christine, et al.
Publicado: (2013)

Selecting the Best Prediction Model for Readmission
por: Lee, Eun Whan
Publicado: (2012)

Life Events and Adaptive Coping Approaches to Self-Management From the Perspectives of Hospitalized Cardiovascular Patients: A Qualitative Study
por: Qiu, Ruolin, et al.
Publicado: (2021)

Effects of adenotonsillectomy on the growth of children with obstructive sleep apnoea-hypopnea syndrome (OSAHS): protocol for a systematic review
por: Hua, Fang, et al.
Publicado: (2019)

Intrinsic Functional and Structural Brain Connectivity in Humans Predicts Individual Social Comparison Orientation
por: Jung, Wi Hoon, et al.
Publicado: (2020)

Drug-induced Sleep Endoscopy (DISE) with Simulation Bite to Predict the Success of Oral Appliance Therapy in Treating Obstructive Sleep Apnea/Hypopnea Syndrome (OSAHS)
por: Cavaliere, Matteo, et al.
Publicado: (2020)

LncRNA XIST promotes inflammation by downregulating GRα expression in the adenoids of children with OSAHS
por: Zhou, Zhen, et al.
Publicado: (2021)

Measuring resilience by cognitive diagnosis models and its prediction of 6-month quality of life in Be Resilient to Breast Cancer (BRBC)
por: Liang, Mu Zi, et al.
Publicado: (2023)

Predictive Analysis of Factors Influencing Depression Status of Nurses in the COVID-19 Pandemic Intensive Care Unit
por: Li, Jing, et al.
Publicado: (2021)

Depressive Syndromes in Autoimmune Disorders of the Nervous System: Prevalence, Etiology, and Influence
por: Liu, Yanjun, et al.
Publicado: (2018)

The prevalence of anxiety and its key influencing factors among the elderly in China
por: Liu, Yixuan, et al.
Publicado: (2023)

Reliability and Validity of the Beijing Version of the Montreal Cognitive Assessment in the Evaluation of Cognitive Function of Adult Patients with OSAHS
por: Chen, Xiong, et al.
Publicado: (2015)

Mandibular Advancement Devices Prevent the Adverse Cardiac Effects of Obstructive Sleep Apnea-Hypopnea Syndrome (OSAHS)
por: Liu, Chunyan, et al.
Publicado: (2020)

A case report of hypertrophic olivine degeneration complicated with OSAHS exacerbation: Case report and retrospective analysis
por: Geng, Minxia, et al.
Publicado: (2023)

Prevalence and Influencing Factors of Anxiety and Depression Symptoms in the First-Line Medical Staff Fighting Against COVID-19 in Gansu
por: Zhu, Juhong, et al.
Publicado: (2020)

Gender Differences in Associated and Predictive Factors of Anxiety and Depression in People With Epilepsy
por: Liu, Zhao, et al.
Publicado: (2020)

Prognosis of ischemic stroke predicted by machine learning based on multi-modal MRI radiomics
por: Yu, Huan, et al.
Publicado: (2023)

Food-Predicting Stimuli Differentially Influence Eye Movements and Goal-Directed Behavior in Normal-Weight, Overweight, and Obese Individuals
por: Lehner, Rea, et al.
Publicado: (2017)

Comparison of Psychosocial Distress in Areas With Different COVID-19 Prevalence in Korea
por: Kim, Mina, et al.
Publicado: (2020)

Corrigendum: Prevalence and Influencing Factors of Anxiety and Depression Symptoms in the First-Line Medical Staff Fighting Against COVID-19 in Gansu
por: Zhu, Juhong, et al.
Publicado: (2021)

Comorbid Diagnosis of Psychotic Disorders in Borderline Personality Disorder: Prevalence and Influence on Outcome
por: Slotema, C. W., et al.
Publicado: (2018)

Prevalence, Influencing Factors, and Clinical Characteristics of Cognitive Impairment in Elderly Patients With Schizophrenia
por: Liu, Guojun, et al.
Publicado: (2022)

Brain-Age Prediction Using Shallow Machine Learning: Predictive Analytics Competition 2019
por: Da Costa, Pedro F., et al.
Publicado: (2020)

Editorial: Predicting Chronological Age From Structural Neuroimaging: The Predictive Analytics Competition 2019
por: Fisch, Lukas, et al.
Publicado: (2021)

Prenatal Maternal Anxiety in South Asia: A Rapid Best-Fit Framework Synthesis
por: Bright, Katherine Stuart, et al.
Publicado: (2018)

Cannot write session to /tmp/vufind_sessions/sess_fs51i1noig0hu22v12qtpk2437