Results 21 to 30 of about 25,855,092 (323)

Analysis of influencing factors of delayed facial paralysis after retrosigmoid approach surgery for vestibular schwannoma

Chinese Journal of Contemporary Neurology and Neurosurgery, 2022
Objective To summarize the characteristics of delayed facial paralysis (DFP) after retrosigmoid approach surgery for vestibular schwannoma and screen its related influencing factors.
ZHU Xu⁃qiang, JIAO He⁃nan, LI Xue⁃yuan, WU Li⁃xin, MA Si⁃qi, YAN Dong⁃ming   +5 more
doaj   +1 more source

Factors Associated with Cesarean Section in Tehran, Iran using Multilevel Logistic Regression Model [PDF]

Osong Public Health and Research Perspectives, 2018
Objectives Over the past few decades, the prevalence of cesarean sections (CS) have risen dramatically worldwide, particularly in Iran. The aim of this study was to determine the prevalence of CS in Tehran, and to examine the associated risk factors ...
Payam Amini, Maryam Mohammadi, Reza Omani-Samani, Amir Almasi-Hashiani, Saman Maroufizadeh   +4 more
doaj   +1 more source

Examination of orthostatic hypotension and its related risk factors in patients with Parkinson's disease

Chinese Journal of Contemporary Neurology and Neurosurgery, 2022
Objective To investigate the incidence and risk factors of orthostatic hypotension (OH) in Parkinson's disease (PD) by Active Standing Test (AST) and Head⁃Up Tilt Test (HUTT).
LIU Chen⁃fei, HAO Yong⁃ci, DONG Ci, LI Dong, LIU Hui⁃miao, GU Ping   +5 more
doaj   +1 more source

Comparative simulation study for model adequancy with binary response variable under multicollinearity – nonparametric approaches

Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 2017
Regression models used to explore the importance of several explanatory variables in estimation, classification and analytical tools play an efficient role for many data analysis.
Betül Kan Kılınç, Mustafa Çavuş
doaj   +1 more source

Analysis of risk factors for asymptomatic deep venous thrombosis in patients with acute ischemic stroke

Chinese Journal of Contemporary Neurology and Neurosurgery, 2021
Objective To explore the risk factors for asymptomatic deep venous thrombosis (DVT) in patients with acute ischemic stroke and determine the predictive value of risk indicators. Methods Two hundred thirty ⁃ nine acute ischemic stroke patients admitted to
LI Wei, WANG Li⁃li, LI Hai⁃yan, FU Rui   +3 more
doaj   +1 more source

Auricular acupuncture for sleep quality in participants with mental and behavioral disorders due to prior multiple drug use: a retrospective consecutive case series [PDF]

Journal of Yeungnam Medical Science, 2023
Background Poor sleep quality is associated with psychoactive substance abuse/addiction/withdrawal. Auricular acupuncture (AA) is a nonpharmacological method used for the treatment of sleep disturbances.
Yuri Gimelfarb, Eran Goldstien
doaj   +1 more source

Multivariate Logistic Models

Journal of the Royal Statistical Society Series B: Statistical Methodology, 1995
SUMMARY When data composed of several categorical responses together with categorical or continuous predictors are observed, the multivariate logistic transform introduced by McCullagh and Nelder can be used to define a class of regression models that is, in many applications, particularly suitable for relating the joint distribution of ...
Glonek, G. F. V., McCullagh, P.
openaire   +2 more sources

Comparison of machine learning and logistic regression models in predicting acute kidney injury: A systematic review and meta-analysis

Int. J. Medical Informatics, 2021
INTRODUCTION We aimed to assess whether machine learning models are superior at predicting acute kidney injury (AKI) compared to logistic regression (LR), a conventional prediction model. METHODS Eligible studies were identified using PubMed and Embase.
Xuan Song, Xinyan Liu, Fei Liu, Chunting Wang   +3 more
semanticscholar   +1 more source

Study on the incidence and related risk factors for impulsive control disorders in Parkinson's disease

Chinese Journal of Contemporary Neurology and Neurosurgery, 2021
Objective To investigate the incidence and risk factors for impulsive control disorders (ICDs) in Parkinson's disease (PD). Methods A total of 201 patients with PD were included from May 2016 to September 2017.
XIE Xin, LUO Xiao⁃guang, CHEN Rong⁃jie   +2 more
doaj   +1 more source

Effects of dataset size and interactions on the prediction performance of logistic regression and deep learning models

Comput. Methods Programs Biomed., 2021
BACKGROUND AND OBJECTIVE Machine learning and deep learning models are very powerful in predicting the presence of a disease. To achieve good predictions, those models require a certain amount of data to train on, whereas this amount i) is generally ...
Alexandre Bailly, C. Blanc, Élie Francis, T. Guillotin, Fadi Jamal, Béchara Wakim, Pascal Roy   +6 more
semanticscholar   +1 more source