AIMC Topic: Logistic Models

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Exploiting machine learning for predicting skeletal-related events in cancer patients with bone metastases.

Oncotarget Mar 15, 2016
The aim of the bone metastases (BM) treatment is to prevent the occurrence of skeletal-related events (SREs). In clinical, physicians could only predict the occurrence of SREs by subjective experience. Machine learning (ML) could be used as predictiv...
Decision Trees Bone Diseases Middle Aged Aged Logistic Models Adult Support Vector Machine Male Bone Neoplasms Humans Female
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Multicenter Comparison of Machine Learning Methods and Conventional Regression for Predicting Clinical Deterioration on the Wards.

Critical care medicine Feb 1, 2016
OBJECTIVE: Machine learning methods are flexible prediction algorithms that may be more accurate than conventional regression. We compared the accuracy of different techniques for detecting clinical deterioration on the wards in a large, multicenter ...
Humans Neural Networks, Computer Machine Learning Intensive Care Units Risk Assessment Survival Analysis Vital Signs Heart Arrest Socioeconomic Factors Diagnostic Techniques and Procedures Support Vector Machine Age Factors Cohort Studies Models, Statistical Time Factors ROC Curve Logistic Models
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Prediction of Lumbar Disc Herniation Patients' Satisfaction with the Aid of an Artificial Neural Network.

Turkish neurosurgery Jan 1, 2016
AIM: To identify key determinants of lumbar disc herniation (LDH) patients' satisfaction and to evaluate the efficiency of an artificial neural network (ANN) model to prognosticate satisfaction derived from the hospital stay in this specific patient ...
Aged Adult Male Middle Aged Humans Neural Networks, Computer Female Logistic Models Principal Component Analysis Patient Satisfaction Intervertebral Disc Displacement
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Histogram-Based Discrimination of Intravenous Contrast in Abdominopelvic Computed Tomography.

Journal of computer assisted tomography Jan 1, 2016
OBJECTIVE: The aim of this study was to evaluate the accuracy of fully automated machine learning methods for detecting intravenous contrast in computed tomography (CT) studies of the abdomen and pelvis.
Humans Artificial Intelligence Contrast Media Pelvis Administration, Intravenous Radiographic Image Enhancement Radiography, Abdominal Algorithms Tomography, X-Ray Computed Reproducibility of Results Logistic Models
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[ED50 of Intrathecal Isobaric Bupivacaine with Epidural Volume Extension for Cesarean Delivery].

Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition Nov 1, 2015
OBJECTIVE: To determine the 50% effective dose (ED50) of intrathecal isobaric bupivacaine in combined spinal-epidural anaesthesia with epidural volume extension for caesarean surgery.
Bupivacaine Cesarean Section Humans Anesthesia, Spinal Logistic Models Prospective Studies Anesthetics, Local Sodium Chloride Pregnancy Double-Blind Method Anesthesia, Epidural Female
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Effect of Maternal Factors and Fetomaternal Glucose Homeostasis on Birth Weight and Postnatal Growth.

Journal of clinical research in pediatric endocrinology Sep 1, 2015
OBJECTIVE: It is important to identify the possible risk factors for the occurrence of large for gestational age (LGA) in newborns and to determine the effect of birth weight and metabolic parameters on subsequent growth. We aimed to determine the ef...
Blood Glucose Insulin Humans Logistic Models Birth Weight Prospective Studies Glycated Hemoglobin Child Development Infant, Newborn Pregnancy C-Peptide Placental Circulation Adult Female Gestational Age Infant Homeostasis Case-Control Studies
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Models for predicting objective function weights in prostate cancer IMRT.

Medical physics Apr 1, 2015
PURPOSE: To develop and evaluate the clinical applicability of advanced machine learning models that simultaneously predict multiple optimization objective function weights from patient geometry for intensity-modulated radiation therapy of prostate c...
Radiotherapy, Intensity-Modulated Urinary Bladder Male Photons Logistic Models Humans Prostatic Neoplasms Radiotherapy Planning, Computer-Assisted Rectum Machine Learning Prostate Datasets as Topic Organs at Risk Retrospective Studies Radiotherapy Dosage
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Use of artificial neural networks to predict recurrent lumbar disk herniation.

Journal of spinal disorders & techniques Apr 1, 2015
BACKGROUND: The aim of this study was to develop an artificial neural network (ANN) model to predict recurrent lumbar disk herniation (LDH).
Diskectomy Male Middle Aged Time Factors Logistic Models Pain Measurement Intervertebral Disc Displacement Recurrence Back Pain Neural Networks, Computer Female Risk Factors Adult Humans
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Genome-wide discovery of miRNAs using ensembles of machine learning algorithms and logistic regression.

International journal of data mining and bioinformatics Jan 1, 2015
In silico prediction of novel miRNAs from genomic sequences remains a challenging problem. This study presents a genome-wide miRNA discovery software package called GenoScan and evaluates two hairpin classification methods. These methods, one ensembl...
Molecular Sequence Data Humans Chromosome Mapping Machine Learning Pattern Recognition, Automated Logistic Models Algorithms Base Sequence Sequence Analysis, RNA Genome, Human MicroRNAs Inverted Repeat Sequences Regression Analysis
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A Multi-Relational Model for Depression Relapse in Patients with Bipolar Disorder.

Studies in health technology and informatics Jan 1, 2015
Bipolar Disorder (BD) is a chronic and disabling disease that usually appears around 20 to 30 years old. Patients who suffer with BD may struggle for years to achieve a correct diagnosis, and only 50% of them generally receive adequate treatment. In ...
Humans Machine Learning Reproducibility of Results Sensitivity and Specificity Diagnosis, Computer-Assisted Recurrence Algorithms Depression Computer Simulation Bipolar Disorder Decision Support Systems, Clinical Logistic Models
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