AIMC Topic:
Predictive Value of Tests
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Simple Scoring System and Artificial Neural Network for Knee Osteoarthritis Risk Prediction: A Cross-Sectional Study.
PloS one
Feb 9, 2016
BACKGROUND: Knee osteoarthritis (OA) is the most common joint disease of adults worldwide. Since the treatments for advanced radiographic knee OA are limited, clinicians face a significant challenge of identifying patients who are at high risk of OA ...
Symbolic features and classification via support vector machine for predicting death in patients with Chagas disease.
Computers in biology and medicine
Jan 22, 2016
This paper introduces a technique for predicting death in patients with Chagas disease using features extracted from symbolic series and time-frequency indices of heart rate variability (HRV). The study included 150 patients: 15 patients who died and...
Multiple Linear Regression and Artificial Neural Network to Predict Blood Glucose in Overweight Patients.
Experimental and clinical endocrinology & diabetes : official journal, German Society of Endocrinology [and] German Diabetes Association
Jan 21, 2016
BACKGROUND: Overweight individuals are at higher risk for developing type II diabetes than the general population. We conducted this study to analyze the correlation between blood glucose and biochemical parameters, and developed a blood glucose pred...
Robotic Quantification of Position Sense in Children With Perinatal Stroke.
Neurorehabilitation and neural repair
Jan 7, 2016
Background Perinatal stroke is the leading cause of hemiparetic cerebral palsy. Motor deficits and their treatment are commonly emphasized in the literature. Sensory dysfunction may be an important contributor to disability, but it is difficult to me...
Lopinavir Resistance Classification with Imbalanced Data Using Probabilistic Neural Networks.
Journal of medical systems
Jan 6, 2016
Resistance to antiretroviral drugs has been a major obstacle for long-lasting treatment of HIV-infected patients. The development of models to predict drug resistance is recognized as useful for helping the decision of the best therapy for each HIV+ ...
Telemedicine Supported Chronic Wound Tissue Prediction Using Classification Approaches.
Journal of medical systems
Jan 4, 2016
Telemedicine helps to deliver health services electronically to patients with the advancement of communication systems and health informatics. Chronic wound (CW) detection and its healing rate assessment at remote distance is very much difficult due ...
Prediction of final infarct volume on subacute MRI by quantifying cerebral edema in ischemic stroke.
Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism
Jan 1, 2016
Final infarct volume in stroke trials is assessed on images obtained between 30 and 90 days after stroke onset. Imaging at such delayed timepoints is problematic because patients may be lost to follow-up or die before the scan. Obtaining an early ass...
Resting Heart Rate Does Not Predict Cardiovascular and Renal Outcomes in Type 2 Diabetic Patients.
Journal of diabetes research
Dec 28, 2015
Elevated resting heart rate (RHR) has been associated with increased risk of mortality and cardiovascular events. Limited data are available so far in type 2 diabetic (T2DM) subjects with no study focusing on progressive renal decline specifically. A...
Prediction of Soil Deformation in Tunnelling Using Artificial Neural Networks.
Computational intelligence and neuroscience
Dec 24, 2015
In the past few decades, as a new tool for analysis of the tough geotechnical problems, artificial neural networks (ANNs) have been successfully applied to address a number of engineering problems, including deformation due to tunnelling in various t...
The predictive value of soluble endothelial selectin plasma levels in children with acute lung injury.
Journal of critical care
Dec 23, 2015
UNLABELLED: The study aimed to evaluate the value of soluble endothelial selectin (sE-selectin) plasma level measurement in predicting acute lung injury (ALI) outcome in children.
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