AIMC Topic: ROC Curve

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Neurons from the adult human dentate nucleus: neural networks in the neuron classification.

Journal of theoretical biology Jan 30, 2015
OBJECTIVES: Topological (central vs. border neuron type) and morphological classification of adult human dentate nucleus neurons according to their quantified histomorphological properties using neural networks on real and virtual neuron samples.
Adult ROC Curve Analysis of Variance Humans Neural Networks, Computer Cluster Analysis Neurons Dendrites Dentate Gyrus
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Combining macula clinical signs and patient characteristics for age-related macular degeneration diagnosis: a machine learning approach.

BMC ophthalmology Jan 27, 2015
BACKGROUND: To investigate machine learning methods, ranging from simpler interpretable techniques to complex (non-linear) "black-box" approaches, for automated diagnosis of Age-related Macular Degeneration (AMD).
Male ROC Curve Image Processing, Computer-Assisted Decision Trees Retinal Pigment Epithelium Area Under Curve Retinal Drusen Macular Degeneration Humans Machine Learning Subretinal Fluid Retinal Hemorrhage Female Macula Lutea Aged Sensitivity and Specificity
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imDC: an ensemble learning method for imbalanced classification with miRNA data.

Genetics and molecular research : GMR Jan 15, 2015
Imbalances typically exist in bioinformatics and are also common in other areas. A drawback of traditional machine learning methods is the relatively little attention given to small sample classification. Thus, we developed imDC, which uses an ensemb...
Databases, Genetic Machine Learning Algorithms MicroRNAs Reproducibility of Results ROC Curve
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Autonomous unobtrusive detection of mild cognitive impairment in older adults.

IEEE transactions on bio-medical engineering Jan 9, 2015
The current diagnosis process of dementia is resulting in a high percentage of cases with delayed detection. To address this problem, in this paper, we explore the feasibility of autonomously detecting mild cognitive impairment (MCI) in the older adu...
Support Vector Machine Humans Remote Sensing Technology Aged, 80 and over Artificial Intelligence Signal Processing, Computer-Assisted Male Algorithms Cognitive Dysfunction Female ROC Curve Aged
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Classification of lung cancer using ensemble-based feature selection and machine learning methods.

Molecular bioSystems Dec 16, 2014
Lung cancer is one of the leading causes of death worldwide. There are three major types of lung cancers, non-small cell lung cancer (NSCLC), small cell lung cancer (SCLC) and carcinoid. NSCLC is further classified into lung adenocarcinoma (LADC), sq...
Gene Expression Regulation, Neoplastic Epigenomics Support Vector Machine DNA Methylation Cluster Analysis Databases, Nucleic Acid Biomarkers, Tumor Cell Line, Tumor ROC Curve Humans Lung Neoplasms Artificial Intelligence Algorithms Reproducibility of Results
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Factors Contributing to Early Recovery of Urinary Continence Analyzed by Pre- and Postoperative Pelvic Anatomical Features at Robot-Assisted Laparoscopic Radical Prostatectomy.

Journal of endourology Dec 11, 2014
OBJECTIVE: The aim of the present study is to elucidate factors contributing to early recovery of urinary continence after robot-assisted laparoscopic radical prostatectomy (RARP) from the perspective of urethral and vesical anatomical features after...
ROC Curve Humans Recovery of Function Odds Ratio Prostatectomy Aged Robotics Pelvis Prospective Studies Preoperative Period Urinary Incontinence Laparoscopy Male Urethra Japan Postoperative Complications Outcome Assessment, Health Care Cohort Studies Postoperative Period
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Mortality prediction in intensive care units with the Super ICU Learner Algorithm (SICULA): a population-based study.

The Lancet. Respiratory medicine Nov 24, 2014
BACKGROUND: Improved mortality prediction for patients in intensive care units is a big challenge. Many severity scores have been proposed, but findings of validation studies have shown that they are not adequately calibrated. The Super ICU Learner A...
Humans Machine Learning Algorithms Intensive Care Units Female Risk Boston Middle Aged Reproducibility of Results Severity of Illness Index Aged Hospital Mortality Aged, 80 and over ROC Curve Male
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The method and efficacy of support vector machine classifiers based on texture features and multi-resolution histogram from (18)F-FDG PET-CT images for the evaluation of mediastinal lymph nodes in patients with lung cancer.

European journal of radiology Nov 18, 2014
OBJECTIVES: In clinical practice, image analysis is dependent on simply visual perception and the diagnostic efficacy of this analysis pattern is limited for mediastinal lymph nodes in patients with lung cancer. In order to improve diagnostic efficac...
Fluorodeoxyglucose F18 Support Vector Machine Lymphatic Metastasis Radiopharmaceuticals Positron-Emission Tomography Female Aged Aged, 80 and over Male Middle Aged ROC Curve Lung Neoplasms Lymph Nodes Humans Algorithms Retrospective Studies Tomography, X-Ray Computed
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Quantifying the determinants of outbreak detection performance through simulation and machine learning.

Journal of biomedical informatics Nov 6, 2014
OBJECTIVE: To develop a probabilistic model for discovering and quantifying determinants of outbreak detection and to use the model to predict detection performance for new outbreaks.
Humans Machine Learning Algorithms Computational Biology Bayes Theorem Probability False Positive Reactions Computer Simulation Sensitivity and Specificity Disease Outbreaks ROC Curve
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Protein submitochondrial localization from integrated sequence representation and SVM-based backward feature extraction.

Molecular bioSystems Oct 21, 2014
Mitochondrion, a tiny energy factory, plays an important role in various biological processes of most eukaryotic cells. Mitochondrial defection is associated with a series of human diseases. Knowledge of the submitochondrial locations of proteins can...
Models, Biological Humans Mitochondria Algorithms Datasets as Topic Protein Transport Reproducibility of Results Colorectal Neoplasms ROC Curve Support Vector Machine Proteins
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