AIMC Topic: Sensitivity and Specificity

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Automated identification and predictive tools to help identify high-risk heart failure patients: pilot evaluation.

Journal of the American Medical Informatics Association : JAMIA Feb 17, 2016
OBJECTIVE: Develop and evaluate an automated identification and predictive risk report for hospitalized heart failure (HF) patients.
Sensitivity and Specificity Male Risk Assessment Severity of Illness Index Pilot Projects Natural Language Processing Heart Failure Patient Readmission Analysis of Variance Hospital Information Systems Humans Electronic Health Records Female Hospitalization Decision Making, Computer-Assisted
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Evaluation of Underlying Lymphocytic Thyroiditis With Histogram Analysis Using Grayscale Ultrasound Images.

Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine Feb 17, 2016
OBJECTIVES: The purpose of this study was to evaluate diagnostic performance of histogram analysis using grayscale ultrasound (US) images in the diagnosis of lymphocytic thyroiditis.
Thyroiditis, Autoimmune Sensitivity and Specificity Male Middle Aged Adolescent Reproducibility of Results Aged Aged, 80 and over Young Adult Adult Humans Ultrasonography Machine Learning Data Interpretation, Statistical Algorithms Image Interpretation, Computer-Assisted Female Observer Variation Image Enhancement
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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 ...
Humans Machine Learning Phenotype Female Adult Neuroimaging White Matter Diffusion Magnetic Resonance Imaging Sensitivity and Specificity Male Middle Aged Bipolar Disorder
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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...
Knowledge Bases Radiotherapy Planning, Computer-Assisted Radiotherapy, Conformal Radiotherapy Dosage Humans Nasopharyngeal Neoplasms Software Software Validation Sensitivity and Specificity Reproducibility of Results User-Computer Interface Treatment Outcome Workload
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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...
Sensitivity and Specificity Male Muscle, Skeletal Robotics Equipment Design Humans Reproducibility of Results Adult Achilles Tendon Ankle Joint Equipment Failure Analysis Exoskeleton Device Energy Transfer
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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...
Female Cyclophosphamide Aged Prednisone Rituximab Humans Sensitivity and Specificity Middle Aged Antibodies, Monoclonal, Murine-Derived Support Vector Machine Prognosis Lymphoma, Large B-Cell, Diffuse Vincristine Gene Expression Profiling Germinal Center Databases, Genetic Male Genes, Neoplasm ROC Curve Doxorubicin Antineoplastic Combined Chemotherapy Protocols Survival Analysis Treatment Outcome
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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 Sensitivity and Specificity Defibrillators Signal Processing, Computer-Assisted Humans ROC Curve Electric Countershock Out-of-Hospital Cardiac Arrest Neural Networks, Computer Electrocardiography Ventricular Fibrillation Treatment Outcome Software Predictive Value of Tests Retrospective Studies
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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...
Magnetic Resonance Imaging, Cine Pattern Recognition, Automated Image Enhancement Models, Cardiovascular Subtraction Technique Reproducibility of Results Humans Sensitivity and Specificity Machine Learning Heart Ventricles Algorithms Ventricular Dysfunction, Left Computer Simulation Image Interpretation, Computer-Assisted
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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...
Natural Language Processing Tomography, X-Ray Computed Radiographic Image Interpretation, Computer-Assisted Humans Reproducibility of Results Pattern Recognition, Automated Data Mining Sensitivity and Specificity Machine Learning Documentation Terminology as Topic Imaging, Three-Dimensional Algorithms Semantics Radiology Information Systems Liver Radiographic Image Enhancement Database Management Systems
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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 Humans Image Processing, Computer-Assisted Neural Networks, Computer Microscopy Algorithms Erythrocytes Erythrocytes, Abnormal
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