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Logistic Regression

Known as: Logistic Regressions, Regression, Logistic, Regressions, Logistic 
National Institutes of Health

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Logistic Models

Papers overview

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2018
2018
Cause-Effect Deep Information Bottleneck For Incomplete Covariates
Estimating the causal effects of an intervention in the presence of confounding is a frequently occurring problem in applications… 
2017
2017
Machine learning aided prediction of family history of depression
Increased risk for psychopathology in the offspring of depressed parents has been widely known. The brain may mediate the effects… 
2016
2016
Comparison of Sensitivity for Consumer Loan Data Using Gaussian Naïve Bayes (GNB) and Logistic Regression (LR)
If the training sample size is asymptotic (number approaching to infinity) classification accuracy for Logistic Regression is… 
Review
2012
Review
2012
The Bankruptcy Prediction in Tehran share holding using Neural Network and it's Comparison with Logistic Regression
The use of financial ratios for predicting companies' bankruptcy has always been considered by universities and economical… 
Review
2010
Review
2010
A neural network to pulmonary embolism aided diagnosis with a feature selection approach
Objectives: The purpose of this study was to build a backpropagation neural network (BNN) as a computer-aided diagnostic model… 
2008
2008
Applying time, frequency and nonlinear features from nocturnal oximetry to OSA diagnosis
This study is aimed to improve the diagnostic ability of blood oxygen saturation (SaO2) in obstructive sleep apnea (OSA… 
2007
2007
Identification of patients with low‐risk for aneuploidy: Comparative discriminatory models using linear and machine‐learning classifiers in prostate cancer
Prostate needle biopsy (PNB) ploidy status has proven utility to predict adverse outcomes after prostatectomy. We sought to… 
2006
2006
Morphometric sum optical density as a surrogate marker for ploidy status in prostate cancer: an analysis in 180 biopsies using logistic regression and binary recursive partitioning
We sought to identify morphometric descriptors predictive of nondiploidy in prostatic adenocarcinoma on prostate needle biopsies… 
2003
2003
Operational comparison of Logistic regression, Decision trees & Neural networks in modelling mobile service churn.
objective of this study was to compare logistic regression (LR), decision trees (DT) and Neural networks (NN) techniques for… 
1998
1998
Focal calvarial bone lesions. Comparison of logistic regression and neural network models.
RATIONALE AND OBJECTIVES To assess the accuracy of logistic regression (LR) and artificial neural networks (NN) in the diagnosis…