AIMC Topic: Predictive Value of Tests

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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 ROC Curve Automation Lung Neoplasms Adenocarcinoma of Lung 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 Aged Humans Middle Aged South Africa Machine Learning Aged, 80 and over Surveys and Questionnaires Internet Psychiatry Adolescent Young Adult Online Systems Female ROC Curve Adult Obsessive-Compulsive Disorder Reproducibility of Results United States Male Behavior, Addictive Predictive Value of Tests
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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...
Predictive Value of Tests Humans Artificial Intelligence Algorithms Learning Models, Statistical
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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,...
Humans Machine Learning Brain Female Aged Aged, 80 and over Predictive Value of Tests Alzheimer Disease Datasets as Topic Linear Models Neuroimaging Diffusion Magnetic Resonance Imaging Male Disease Progression Severity of Illness Index Longitudinal Studies Regression Analysis
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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...
Sentinel Lymph Node Biopsy Fluorescein Tomography, Emission-Computed, Single-Photon Laparoscopes Lymphography Indocyanine Green Sentinel Lymph Node Optical Imaging Technetium Prostatectomy Fluorescent Dyes Laparoscopy Equipment Design Feasibility Studies Radiopharmaceuticals Humans Aged Male Middle Aged Pilot Projects Treatment Outcome Predictive Value of Tests Robotics Prostatic Neoplasms
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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.
Image Processing, Computer-Assisted Fuzzy Logic Aged, 80 and over Humans Predictive Value of Tests Sensitivity and Specificity Algorithms Bone Diseases, Metabolic Radiography, Panoramic Middle Aged Bone Density Femur Neck Lumbar Vertebrae Diagnosis, Computer-Assisted Female Osteoporosis, Postmenopausal Mandible Aged Fractals Cortical Bone Cancellous Bone
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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...
Ankle Brachial Index Linear Models Logistic Models Peripheral Arterial Disease Predictive Value of Tests Area Under Curve Coronary Angiography Data Mining Male Middle Aged Humans Risk Assessment Databases, Factual Machine Learning ROC Curve Prognosis Genomics Algorithms Female Decision Support Techniques Reproducibility of Results Risk Factors Aged
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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 Hypertrophy, Right Ventricular Ventricular Function, Right Knowledge Bases Predictive Value of Tests Image Interpretation, Computer-Assisted Anatomic Landmarks Observer Variation Feasibility Studies Transposition of Great Vessels Ventricular Dysfunction, Right Magnetic Resonance Imaging, Cine Heart Ventricles Arterial Switch Operation
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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...
Pharmaceutical Preparations Biological Transport Molecular Weight Substrate Specificity Multidrug Resistance-Associated Proteins Algorithms Computer Simulation Support Vector Machine Carrier Proteins Lipids Predictive Value of Tests
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Automated development of artificial neural networks for clinical purposes: Application for predicting the outcome of choledocholithiasis surgery.

Computers in biology and medicine May 26, 2016
Among various expert systems (ES), Artificial Neural Network (ANN) has shown to be suitable for the diagnosis of concurrent common bile duct stones (CBDS) in patients undergoing elective cholecystectomy. However, their application in practice remains...
Adult Male Middle Aged Choledocholithiasis Humans Diagnosis, Computer-Assisted Neural Networks, Computer Treatment Outcome Algorithms Predictive Value of Tests Prognosis Aged
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