AIMC Topic: Predictive Value of Tests

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Lymph Node Metastasis Status in Breast Carcinoma Can Be Predicted via Image Analysis of Tumor Histology.

Analytical and quantitative cytopathology and histopathology Oct 1, 2015
OBJECTIVE: To develop a method whereby axillary lymph node (ALN) metastasis can be predicted without ALN dissection, via computational image analysis of routinely acquired tumor histology.
Histological Techniques Image Processing, Computer-Assisted Lymph Nodes Humans Lymphatic Metastasis Predictive Value of Tests Algorithms Female Breast Neoplasms
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Blood pressure and heart rate from the arterial blood pressure waveform can reliably estimate cardiac output in a conscious sheep model of multiple hemorrhages and resuscitation using computer machine learning approaches.

The journal of trauma and acute care surgery Oct 1, 2015
BACKGROUND: This study was a first step to facilitate the development of automated decision support systems using cardiac output (CO) for combat casualty care. Such systems remain a practical challenge in battlefield and prehospital settings. In thes...
Machine Learning Algorithms Heart Rate Hemorrhage Cardiac Output Blood Pressure Determination Arterial Pressure Sheep, Domestic Disease Models, Animal Calibration Predictive Value of Tests Resuscitation Pulse Wave Analysis Traumatology Military Medicine Decision Support Techniques Female Animals Hemodynamics
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An Artificial Immune System-Based Support Vector Machine Approach for Classifying Ultrasound Breast Tumor Images.

Journal of digital imaging Oct 1, 2015
A rapid and highly accurate diagnostic tool for distinguishing benign tumors from malignant ones is required owing to the high incidence of breast cancer. Although various computer-aided diagnosis (CAD) systems have been developed to interpret ultras...
Young Adult Adult Sensitivity and Specificity Breast Neoplasms Humans Algorithms Female Reproducibility of Results Middle Aged Adolescent Diagnosis, Differential Ultrasonography, Mammary ROC Curve Predictive Value of Tests Support Vector Machine Image Interpretation, Computer-Assisted Immune System
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Artificial Neural Network Approach for Differentiating Open-Angle Glaucoma From Glaucoma Suspect Without a Visual Field Test.

Investigative ophthalmology & visual science Jun 1, 2015
PURPOSE: To increase the effectiveness of treating open-angle glaucoma (OAG), we tried to find a screening method of differentiating OAG from glaucoma suspect (GS) without a visual field (VF) test.
Refractive Errors Visual Acuity Diagnosis, Differential Predictive Value of Tests Cross-Sectional Studies Intraocular Pressure Male Middle Aged Diagnostic Techniques, Ophthalmological Glaucoma, Open-Angle Ocular Hypertension Tomography, Optical Coherence Nerve Fibers Retinal Ganglion Cells Multivariate Analysis Humans Neural Networks, Computer Glaucoma Aged Adult Sensitivity and Specificity Female Risk Factors
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Artificial neural network analysis for predicting human percutaneous absorption taking account of vehicle properties.

The Journal of toxicological sciences Apr 1, 2015
An in silico method for predicting percutaneous absorption of cosmetic ingredients was developed by using artificial neural network (ANN) analysis to predict the human skin permeability coefficient (log Kp), taking account of the physicochemical prop...
Humans Neural Networks, Computer Cosmetics Computer Simulation Molecular Weight Risk Assessment Chemical Phenomena Time Factors Skin Absorption Predictive Value of Tests Pharmaceutical Vehicles
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In silico risk assessment for skin sensitization using artificial neural network analysis.

The Journal of toxicological sciences Apr 1, 2015
The sensitizing potential of chemicals is usually identified and characterized using in vivo methods such as the murine local lymph node assay (LLNA). Due to regulatory constraints and ethical concerns, alternatives to animal testing are needed to pr...
Mice Predictive Value of Tests Local Lymph Node Assay Skin Irritancy Tests Neural Networks, Computer Computer Simulation Animals Risk Assessment
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Prediction of brain age suggests accelerated atrophy after traumatic brain injury.

Annals of neurology Apr 1, 2015
OBJECTIVE: The long-term effects of traumatic brain injury (TBI) can resemble observed in normal ageing, suggesting that TBI may accelerate the ageing process. We investigate this using a neuroimaging model that predicts brain age in healthy individu...
Humans Artificial Intelligence Brain Female Male Aging Middle Aged Adult Cross-Sectional Studies Magnetic Resonance Imaging Brain Injuries Atrophy Predictive Value of Tests Neuropsychological Tests
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Evaluation of a hospital admission prediction model adding coded chief complaint data using neural network methodology.

European journal of emergency medicine : official journal of the European Society for Emergency Medicine Apr 1, 2015
OBJECTIVE: Our objective was to apply neural network methodology to determine whether adding coded chief complaint (CCC) data to triage information would result in an improved hospital admission prediction model than one without CCC data.
Emergency Treatment Confidence Intervals Patient Admission Pennsylvania Retrospective Studies Emergency Medicine Female Predictive Value of Tests Reproducibility of Results Triage Hospitalization Humans Area Under Curve Male Neural Networks, Computer Emergency Service, Hospital Aged Algorithms Risk Assessment Aged, 80 and over Cohort Studies
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Effects of Rivaroxaban Therapy on ROTEM Coagulation Parameters in Patients with Venous Thromboembolism.

Advances in clinical and experimental medicine : official organ Wroclaw Medical University Jan 1, 2015
BACKGROUND: Rivaroxaban (Xarelto) does not require routine coagulation monitoring; however, in certain clinical situations (overdose, drug accumulation, urgent surgery) measurement of its plasma concentration is highly recommended. Currently, there i...
Humans Prothrombin Time Case-Control Studies Partial Thromboplastin Time Time Factors Thrombelastography Treatment Outcome Venous Thromboembolism Predictive Value of Tests Factor Xa Inhibitors Blood Coagulation Rivaroxaban Drug Monitoring
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