AIMC Topic:
Predictive Value of Tests

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Ensemble Deep Learning for Biomedical Time Series Classification.

Computational intelligence and neuroscience Sep 20, 2016
Ensemble learning has been proved to improve the generalization ability effectively in both theory and practice. In this paper, we briefly outline the current status of research on it first. Then, a new deep neural network-based ensemble method that ...
Animals Cardiovascular Diseases Time Factors Electrocardiography Predictive Value of Tests Humans Neural Networks, Computer Algorithms Learning Biomedical Research
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Predicting lung cancer prognosis using machine learning.

The Lancet. Oncology Aug 25, 2016
Humans Machine Learning Software Decision Support Techniques Carcinoma, Squamous Cell Area Under Curve Neoplasm Staging Survival Analysis Image Interpretation, Computer-Assisted Automation Adenocarcinoma of Lung ROC Curve Lung Neoplasms Adenocarcinoma Carcinoma, Non-Small-Cell Lung Predictive Value of Tests
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Problematic internet use (PIU): Associations with the impulsive-compulsive spectrum. An application of machine learning in psychiatry.

Journal of psychiatric research Aug 15, 2016
Problematic internet use is common, functionally impairing, and in need of further study. Its relationship with obsessive-compulsive and impulsive disorders is unclear. Our objective was to evaluate whether problematic internet use can be predicted f...
Compulsive Behavior South Africa Internet Online Systems Obsessive-Compulsive Disorder Behavior, Addictive Aged Aged, 80 and over Young Adult Adult Male Middle Aged Surveys and Questionnaires Adolescent ROC Curve United States Predictive Value of Tests Humans Machine Learning Psychiatry Female Reproducibility of Results
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Statistical learning theory for high dimensional prediction: Application to criterion-keyed scale development.

Psychological methods Jul 25, 2016
Statistical learning theory (SLT) is the statistical formulation of machine learning theory, a body of analytic methods common in "big data" problems. Regression-based SLT algorithms seek to maximize predictive accuracy for some outcome, given a larg...
Humans Artificial Intelligence Algorithms Learning Models, Statistical Predictive Value of Tests
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Longitudinal clinical score prediction in Alzheimer's disease with soft-split sparse regression based random forest.

Neurobiology of aging Jul 15, 2016
Alzheimer's disease (AD) is an irreversible neurodegenerative disease and affects a large population in the world. Cognitive scores at multiple time points can be reliably used to evaluate the progression of the disease clinically. In recent studies,...
Machine Learning Brain Female Aged Aged, 80 and over Male Humans Alzheimer Disease Datasets as Topic Linear Models Neuroimaging Diffusion Magnetic Resonance Imaging Disease Progression Severity of Illness Index Longitudinal Studies Regression Analysis Predictive Value of Tests
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Multispectral Fluorescence Imaging During Robot-assisted Laparoscopic Sentinel Node Biopsy: A First Step Towards a Fluorescence-based Anatomic Roadmap.

European urology Jun 23, 2016
BACKGROUND: During (robot-assisted) sentinel node (SN) biopsy procedures, intraoperative fluorescence imaging can be used to enhance radioguided SN excision. For this combined pre- and intraoperative SN identification was realized using the hybrid SN...
Fluorescein Sentinel Lymph Node Tomography, Emission-Computed, Single-Photon Optical Imaging Laparoscopes Technetium Lymphography Prostatectomy Sentinel Lymph Node Biopsy Laparoscopy Equipment Design Feasibility Studies Radiopharmaceuticals Indocyanine Green Humans Pilot Projects Treatment Outcome Aged Predictive Value of Tests Male Robotics Middle Aged Prostatic Neoplasms Fluorescent Dyes
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Automatic detection of osteoporosis based on hybrid genetic swarm fuzzy classifier approaches.

Dento maxillo facial radiology Jun 8, 2016
OBJECTIVES: This study proposed a new automated screening system based on a hybrid genetic swarm fuzzy (GSF) classifier using digital dental panoramic radiographs to diagnose females with a low bone mineral density (BMD) or osteoporosis.
Femur Neck Osteoporosis, Postmenopausal Fractals Cortical Bone Humans Cancellous Bone Aged, 80 and over Algorithms Fuzzy Logic Sensitivity and Specificity Bone Density Predictive Value of Tests Middle Aged Female Radiography, Panoramic Diagnosis, Computer-Assisted Aged Lumbar Vertebrae Mandible Bone Diseases, Metabolic Image Processing, Computer-Assisted
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The use of machine learning for the identification of peripheral artery disease and future mortality risk.

Journal of vascular surgery Jun 3, 2016
OBJECTIVE: A key aspect of the precision medicine effort is the development of informatics tools that can analyze and interpret "big data" sets in an automated and adaptive fashion while providing accurate and actionable clinical information. The aim...
Linear Models Predictive Value of Tests Area Under Curve Coronary Angiography Data Mining Ankle Brachial Index Risk Assessment ROC Curve Genomics Humans Logistic Models Peripheral Arterial Disease Female Reproducibility of Results Machine Learning Risk Factors Algorithms Aged Decision Support Techniques Male Databases, Factual Middle Aged Prognosis
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Evaluation of knowledge-based reconstruction for magnetic resonance volumetry of the right ventricle after arterial switch operation for dextro-transposition of the great arteries.

The international journal of cardiovascular imaging Jun 2, 2016
Right ventricular (RV) volume and function evaluation is essential in the follow-up of patients after arterial switch operation (ASO) for dextro-transposition of the great arteries (d-TGA). Cardiac magnetic resonance (CMR) imaging using the Simpson's...
Humans Retrospective Studies Female Reproducibility of Results Male Adolescent Time Factors Ontario Treatment Outcome Predictive Value of Tests Ventricular Function, Right Image Interpretation, Computer-Assisted Anatomic Landmarks Observer Variation Transposition of Great Vessels Feasibility Studies Magnetic Resonance Imaging, Cine Ventricular Dysfunction, Right Arterial Switch Operation Heart Ventricles Hypertrophy, Right Ventricular Knowledge Bases
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Development of a Support Vector Machine-Based System to Predict Whether a Compound Is a Substrate of a Given Drug Transporter Using Its Chemical Structure.

Journal of pharmaceutical sciences Jun 1, 2016
The aim of this study was to develop an in silico prediction system to assess which of 7 categories of drug transporters (organic anion transporting polypeptide [OATP] 1B1/1B3, multidrug resistance-associated protein [MRP] 2/3/4, organic anion transp...
Biological Transport Molecular Weight Substrate Specificity Multidrug Resistance-Associated Proteins Algorithms Computer Simulation Support Vector Machine Carrier Proteins Lipids Predictive Value of Tests Pharmaceutical Preparations
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