AIMC Topic: Logistic Models

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Classifying major depression patients and healthy controls using EEG, eye tracking and galvanic skin response data.

Journal of affective disorders Mar 20, 2019
OBJECTIVE: Major depression disorder (MDD) is one of the most prevalent mental disorders worldwide. Diagnosing depression in the early stage is crucial to treatment process. However, due to depression's comorbid nature and the subjectivity in diagnos...
Humans Machine Learning Male Depressive Disorder, Major Case-Control Studies Logistic Models Support Vector Machine Algorithms Female Young Adult Adult Electroencephalography Galvanic Skin Response Eye Movement Measurements
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Posterior scleral deformations around optic disc are associated with visual field damage in open-angle glaucoma patients with myopia.

PloS one Mar 15, 2019
PURPOSE: To identify important variables associated with visual field (VF) defects in open-angle glaucoma (OAG) with myopia.
Male Middle Aged Myopia Mice Adult Humans Cross-Sectional Studies Neural Networks, Computer Logistic Models Intraocular Pressure Glaucoma Animals Optic Disk Sclera Visual Fields Visual Field Tests
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Convolutional neural network to predict the local recurrence of giant cell tumor of bone after curettage based on pre-surgery magnetic resonance images.

European radiology Mar 11, 2019
OBJECTIVE: To predict the local recurrence of giant cell bone tumors (GCTB) on MR features and the clinical characteristics after curettage using a deep convolutional neural network (CNN).
Bone and Bones Giant Cell Tumor of Bone Curettage Neoplasm Staging Neoplasm Recurrence, Local Image Interpretation, Computer-Assisted Preoperative Period Neural Networks, Computer Young Adult Algorithms Adult Prognosis Male Female Humans Middle Aged Follow-Up Studies Adolescent Logistic Models Magnetic Resonance Imaging Bone Neoplasms
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Architectures and accuracy of artificial neural network for disease classification from omics data.

BMC genomics Mar 4, 2019
BACKGROUND: Deep learning has made tremendous successes in numerous artificial intelligence applications and is unsurprisingly penetrating into various biomedical domains. High-throughput omics data in the form of molecular profile matrices, such as ...
Deep Learning Artificial Intelligence Logistic Models Humans Machine Learning Support Vector Machine Neural Networks, Computer Algorithms Metabolome Gene Expression Profiling Bayes Theorem
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A systematic review shows no performance benefit of machine learning over logistic regression for clinical prediction models.

Journal of clinical epidemiology Feb 11, 2019
OBJECTIVES: The objective of this study was to compare performance of logistic regression (LR) with machine learning (ML) for clinical prediction modeling in the literature.
Supervised Machine Learning Outcome Assessment, Health Care Logistic Models Models, Theoretical Predictive Value of Tests Area Under Curve Humans Algorithms Sensitivity and Specificity
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Evaluating classification accuracy for modern learning approaches.

Statistics in medicine Jan 30, 2019
Deep learning neural network models such as multilayer perceptron (MLP) and convolutional neural network (CNN) are novel and attractive artificial intelligence computing tools. However, evaluation of the performance of these methods is not readily av...
Probability Humans Biopsy, Fine-Needle Logistic Models Female Biostatistics Support Vector Machine Leukemia Breast Neoplasms Decision Trees Deep Learning Discriminant Analysis
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Optimizing the Predictive Ability of Machine Learning Methods for Landslide Susceptibility Mapping Using SMOTE for Lishui City in Zhejiang Province, China.

International journal of environmental research and public health Jan 28, 2019
The main goal of this study was to use the synthetic minority oversampling technique (SMOTE) to expand the quantity of landslide samples for machine learning methods (i.e., support vector machine (SVM), logistic regression (LR), artiļ¬cial neural netw...
Machine Learning Geographic Information Systems China Logistic Models Area Under Curve Disasters Landslides Support Vector Machine Predictive Value of Tests Satellite Imagery
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Defining and discriminating responders from non-responders following transurethral resection of the prostate.

Scandinavian journal of urology Jan 25, 2019
BACKGROUND: Transurethral resection of the prostate (TURP) is the reference standard surgical treatment for lower urinary tract symptoms (LUTS) related to benign prostatic enlargement. The aim of this study was to investigate the response rate follow...
Transurethral Resection of Prostate Multivariate Analysis Treatment Failure Lower Urinary Tract Symptoms Length of Stay Humans Logistic Models Aged Treatment Outcome Male Prostatic Hyperplasia Middle Aged Urinary Catheterization Urinary Retention
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Rapid detection of internalizing diagnosis in young children enabled by wearable sensors and machine learning.

PloS one Jan 16, 2019
There is a critical need for fast, inexpensive, objective, and accurate screening tools for childhood psychopathology. Perhaps most compelling is in the case of internalizing disorders, like anxiety and depression, where unobservable symptoms cause c...
Psychology, Child Child, Preschool Child ROC Curve Male Supervised Machine Learning Logistic Models Humans Models, Statistical Anxiety Affect Female Signal Processing, Computer-Assisted Depression Psychopathology Sensitivity and Specificity Wearable Electronic Devices
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Binomial Logistic Regression and Artificial Neural Network Methods to Classify Opioid-Dependent Subjects and Control Group Using Quantitative EEG Power Measures.

Clinical EEG and neuroscience Jan 14, 2019
Logistic regression (LR) and artificial neural networks (ANNs) are widely referred approaches in medical data classification studies. LR, a statistical fitting model, is suggested in medical problems because of its well-established methodology and co...
ROC Curve Logistic Models Electroencephalography Signal Processing, Computer-Assisted Analgesics, Opioid Control Groups Female Adult Male Middle Aged Humans Neural Networks, Computer Algorithms
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