AIMC Topic: Sensitivity and Specificity

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Identification and individualized prediction of clinical phenotypes in bipolar disorders using neurocognitive data, neuroimaging scans and machine learning.

NeuroImage Feb 13, 2016
Diagnosis, clinical management and research of psychiatric disorders remain subjective - largely guided by historically developed categories which may not effectively capture underlying pathophysiological mechanisms of dysfunction. Here, we report a ...
Phenotype Female Adult Sensitivity and Specificity Male Humans Machine Learning Diffusion Magnetic Resonance Imaging Middle Aged Bipolar Disorder Neuroimaging White Matter
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Comparison of Planning Quality and Efficiency Between Conventional and Knowledge-based Algorithms in Nasopharyngeal Cancer Patients Using Intensity Modulated Radiation Therapy.

International journal of radiation oncology, biology, physics Feb 12, 2016
PURPOSE: Intensity modulated radiation therapy (IMRT) is widely used to achieve a highly conformal dose and improve treatment outcome. However, plan quality and planning time are institute and planner dependent, and no standardized tool exists to rec...
Sensitivity and Specificity User-Computer Interface Treatment Outcome Workload Knowledge Bases Radiotherapy Planning, Computer-Assisted Radiotherapy, Conformal Radiotherapy Dosage Nasopharyngeal Neoplasms Humans Software Reproducibility of Results Software Validation
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Evaluation of the Achilles Ankle Exoskeleton.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Feb 11, 2016
This paper evaluates the Achilles exoskeleton. The exoskeleton is intended to provide push-off assistance for healthy subjects during walking. The assistance is provided by a series elastic actuator that has been optimized to provide maximal push-off...
Robotics Equipment Design Achilles Tendon Ankle Joint Equipment Failure Analysis Adult Sensitivity and Specificity Male Muscle, Skeletal Exoskeleton Device Energy Transfer Humans Reproducibility of Results
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Machine learning-based classification of diffuse large B-cell lymphoma patients by eight gene expression profiles.

Cancer medicine Feb 11, 2016
Gene expression profiling (GEP) had divided the diffuse large B-cell lymphoma (DLBCL) into molecular subgroups: germinal center B-cell like (GCB), activated B-cell like (ABC), and unclassified (UC) subtype. However, this classification with prognosti...
Prednisone Rituximab Vincristine Genes, Neoplasm Antibodies, Monoclonal, Murine-Derived Databases, Genetic Doxorubicin Survival Analysis Cyclophosphamide Germinal Center Sensitivity and Specificity Lymphoma, Large B-Cell, Diffuse Male Middle Aged Gene Expression Profiling ROC Curve Antineoplastic Combined Chemotherapy Protocols Humans Treatment Outcome Prognosis Support Vector Machine Female Aged
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Combining Amplitude Spectrum Area with Previous Shock Information Using Neural Networks Improves Prediction Performance of Defibrillation Outcome for Subsequent Shocks in Out-Of-Hospital Cardiac Arrest Patients.

PloS one Feb 10, 2016
OBJECTIVE: Quantitative ventricular fibrillation (VF) waveform analysis is a potentially powerful tool to optimize defibrillation. However, whether combining VF features with additional attributes that related to the previous shock could enhance the ...
Area Under Curve Signal Processing, Computer-Assisted Electric Countershock Ventricular Fibrillation Defibrillators ROC Curve Electrocardiography Treatment Outcome Predictive Value of Tests Out-of-Hospital Cardiac Arrest Humans Neural Networks, Computer Software Retrospective Studies Sensitivity and Specificity
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A combined deep-learning and deformable-model approach to fully automatic segmentation of the left ventricle in cardiac MRI.

Medical image analysis Feb 6, 2016
Segmentation of the left ventricle (LV) from cardiac magnetic resonance imaging (MRI) datasets is an essential step for calculation of clinical indices such as ventricular volume and ejection fraction. In this work, we employ deep learning algorithms...
Image Interpretation, Computer-Assisted Pattern Recognition, Automated Image Enhancement Models, Cardiovascular Subtraction Technique Magnetic Resonance Imaging, Cine Computer Simulation Reproducibility of Results Humans Sensitivity and Specificity Machine Learning Heart Ventricles Algorithms Ventricular Dysfunction, Left
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Adapting content-based image retrieval techniques for the semantic annotation of medical images.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Feb 4, 2016
The automatic annotation of medical images is a prerequisite for building comprehensive semantic archives that can be used to enhance evidence-based diagnosis, physician education, and biomedical research. Annotation also has important applications i...
Documentation Semantics Pattern Recognition, Automated Terminology as Topic Radiology Information Systems Radiographic Image Enhancement Database Management Systems Humans Liver Machine Learning Natural Language Processing Algorithms Radiographic Image Interpretation, Computer-Assisted Data Mining Tomography, X-Ray Computed Reproducibility of Results Sensitivity and Specificity Imaging, Three-Dimensional
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Healthy and unhealthy red blood cell detection in human blood smears using neural networks.

Micron (Oxford, England : 1993) Feb 1, 2016
One of the most common diseases that affect human red blood cells (RBCs) is anaemia. To diagnose anaemia, the following methods are typically employed: an identification process that is based on measuring the level of haemoglobin and the classificati...
Sensitivity and Specificity Image Processing, Computer-Assisted Microscopy Erythrocytes Erythrocytes, Abnormal Humans Neural Networks, Computer Algorithms
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Biomechanical and Physiological Evaluation of Multi-Joint Assistance With Soft Exosuits.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Jan 28, 2016
To understand the effects of soft exosuits on human loaded walking, we developed a reconfigurable multi-joint actuation platform that can provide synchronized forces to the ankle and hip joints. Two different assistive strategies were evaluated on ei...
Neurological Rehabilitation Elastic Modulus Artificial Limbs Equipment Failure Analysis Sensitivity and Specificity Leg Robotics Exoskeleton Device Equipment Design Humans Walking Reproducibility of Results Gait Adult
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Comparison of Support-Vector Machine and Sparse Representation Using a Modified Rule-Based Method for Automated Myocardial Ischemia Detection.

Computational and mathematical methods in medicine Jan 26, 2016
An automatic method is presented for detecting myocardial ischemia, which can be considered as the early symptom of acute coronary events. Myocardial ischemia commonly manifests as ST- and T-wave changes on ECG signals. The methods in this study are ...
Automation Pattern Recognition, Automated Myocardial Ischemia Image Processing, Computer-Assisted Humans Electrocardiography Wavelet Analysis Algorithms Support Vector Machine Reproducibility of Results Europe Sensitivity and Specificity
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