AIMC Topic: Sensitivity and Specificity

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Respiratory Artefact Removal in Forced Oscillation Measurements: A Machine Learning Approach.

IEEE transactions on bio-medical engineering Apr 15, 2016
GOAL: Respiratory artefact removal for the forced oscillation technique can be treated as an anomaly detection problem. Manual removal is currently considered the gold standard, but this approach is laborious and subjective. Most existing automated t...
Child Adult Airway Resistance Respiratory Function Tests Supervised Machine Learning Respiratory Mechanics Sensitivity and Specificity Oscillometry Artifacts Male Pattern Recognition, Automated Diagnosis, Computer-Assisted Humans Algorithms Female Reproducibility of Results
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Temporally Constrained Group Sparse Learning for Longitudinal Data Analysis in Alzheimer's Disease.

IEEE transactions on bio-medical engineering Apr 13, 2016
Sparse learning has been widely investigated for analysis of brain images to assist the diagnosis of Alzheimer's disease and its prodromal stage, i.e., mild cognitive impairment. However, most existing sparse learning-based studies only adopt cross-s...
Aging Cognitive Dysfunction Longitudinal Studies Magnetic Resonance Imaging Subtraction Technique Alzheimer Disease Image Interpretation, Computer-Assisted Algorithms Brain Humans Reproducibility of Results Machine Learning Sensitivity and Specificity
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Building a Natural Language Processing Tool to Identify Patients With High Clinical Suspicion for Kawasaki Disease from Emergency Department Notes.

Academic emergency medicine : official journal of the Society for Academic Emergency Medicine Apr 13, 2016
OBJECTIVE: Delayed diagnosis of Kawasaki disease (KD) may lead to serious cardiac complications. We sought to create and test the performance of a natural language processing (NLP) tool, the KD-NLP, in the identification of emergency department (ED) ...
Child Mucocutaneous Lymph Node Syndrome Natural Language Processing Emergency Service, Hospital Data Mining Humans Electronic Health Records Sensitivity and Specificity
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Monitoring of total positive end-expiratory pressure during mechanical ventilation by artificial neural networks.

Journal of clinical monitoring and computing Apr 11, 2016
Ventilation treatment of acute lung injury (ALI) requires the application of positive airway pressure at the end of expiration (PEEP) to avoid lung collapse. However, the total pressure exerted on the alveolar walls (PEEP) is the sum of PEEP and intr...
Neural Networks, Computer Reproducibility of Results Pattern Recognition, Automated Therapy, Computer-Assisted Manometry Acute Lung Injury Diagnosis, Computer-Assisted Sensitivity and Specificity Treatment Outcome Animals Monitoring, Physiologic Respiration, Artificial Positive-Pressure Respiration Swine
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Improve Glioblastoma Multiforme Prognosis Prediction by Using Feature Selection and Multiple Kernel Learning.

IEEE/ACM transactions on computational biology and bioinformatics Apr 7, 2016
Glioblastoma multiforme (GBM) is a highly aggressive type of brain cancer with very low median survival. In order to predict the patient's prognosis, researchers have proposed rules to classify different glioma cancer cell subtypes. However, survival...
Sensitivity and Specificity Brain Neoplasms Male Middle Aged Algorithms Prognosis Female Reproducibility of Results Glioblastoma Survival Analysis Pattern Recognition, Automated Risk Assessment Prevalence Diagnosis, Computer-Assisted Decision Support Systems, Clinical Humans Machine Learning
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Identifying children with autism spectrum disorder based on their face processing abnormality: A machine learning framework.

Autism research : official journal of the International Society for Autism Research Apr 1, 2016
The atypical face scanning patterns in individuals with Autism Spectrum Disorder (ASD) has been repeatedly discovered by previous research. The present study examined whether their face scanning patterns could be potentially useful to identify childr...
Eye Movements Child, Preschool Child Face Visual Perception Reproducibility of Results Algorithms Sensitivity and Specificity Autism Spectrum Disorder Male Recognition, Psychology Female China Humans Machine Learning
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Development of two artificial neural network models to support the diagnosis of pulmonary tuberculosis in hospitalized patients in Rio de Janeiro, Brazil.

Medical & biological engineering & computing Mar 25, 2016
Pulmonary tuberculosis (PTB) remains a worldwide public health problem. Diagnostic algorithms to identify the best combination of diagnostic tests for PTB in each setting are needed for resource optimization. We developed one artificial neural networ...
Predictive Value of Tests Models, Biological Tuberculosis, Pulmonary Humans Sensitivity and Specificity Neural Networks, Computer Male Female Middle Aged Hospitalization Brazil Adult
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A decision support system to improve medical diagnosis using a combination of k-medoids clustering based attribute weighting and SVM.

Journal of medical systems Mar 21, 2016
The use of machine learning tools has become widespread in medical diagnosis. The main reason for this is the effective results obtained from classification and diagnosis systems developed to help medical professionals in the diagnosis phase of disea...
Humans Diagnosis, Computer-Assisted ROC Curve Support Vector Machine Algorithms Sensitivity and Specificity Parkinson Disease Heart Diseases Expert Systems Liver Diseases
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A Novel Tool for Evaluation of Mild Traumatic Brain Injury Patients in the Emergency Department: Does Robotic Assessment of Neuromotor Performance Following Injury Predict the Presence of Postconcussion Symptoms at Follow-up?

Academic emergency medicine : official journal of the Society for Academic Emergency Medicine Mar 21, 2016
OBJECTIVES: Postconcussion symptoms (PCS) are a common complication of mild traumatic brain injury (TBI). Currently, there is no validated clinically available method to reliably predict at the time of injury who will subsequently develop PCS. The pu...
Head Injuries, Closed Post-Concussion Syndrome Male Middle Aged Humans Urban Population Female Follow-Up Studies Emergency Service, Hospital Brain Injuries Young Adult Observer Variation Robotics Adult Diagnostic Techniques, Neurological Sensitivity and Specificity
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Rehabilitative Soft Exoskeleton for Rodents.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Mar 18, 2016
Robotic exoskeletons provide programmable, consistent and controllable active therapeutic assistance to patients with neurological disorders. Here we introduce a prototype and preliminary experimental evaluation of a rehabilitative gait exoskeleton t...
Rats Treatment Outcome Robotics Female Reproducibility of Results Exoskeleton Device Equipment Design Neurological Rehabilitation Sensitivity and Specificity Artificial Limbs Gait Disorders, Neurologic Elastic Modulus Animals Feasibility Studies Pilot Projects Rats, Inbred Lew Equipment Failure Analysis
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