AIMC Topic: Sensitivity and Specificity

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Fast and Accurate Diagnosis of Autism (FADA): a novel hierarchical fuzzy system based autism detection tool.

Australasian physical & engineering sciences in medicine Jul 27, 2018
The main aim of this research work was to develop and validate a novel graphical user interface based hierarchical fuzzy autism detection tool named as "Fast and Accurate Diagnosis of Autism" for the diagnosis of autism disorder quickly and accuratel...
Area Under Curve Discriminant Analysis Autistic Disorder Child, Preschool Child ROC Curve Fuzzy Logic Sensitivity and Specificity Male User-Computer Interface Female Reproducibility of Results Humans
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Hybrid 3D/2D Convolutional Neural Network for Hemorrhage Evaluation on Head CT.

AJNR. American journal of neuroradiology Jul 26, 2018
BACKGROUND AND PURPOSE: Convolutional neural networks are a powerful technology for image recognition. This study evaluates a convolutional neural network optimized for the detection and quantification of intraparenchymal, epidural/subdural, and suba...
Intracranial Hemorrhages Deep Learning Imaging, Three-Dimensional Neuroimaging Tomography, X-Ray Computed Sensitivity and Specificity Humans Prospective Studies
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Diagnostic model for attention-deficit hyperactivity disorder based on interregional morphological connectivity.

Neuroscience letters Jul 19, 2018
Previous brain morphology-related diagnostic models for attention-deficit hyperactivity disorder (ADHD) were based on regional features. However, building a model of individual interregional morphological connectivity is a challenging task. This stud...
Humans Machine Learning Brain Adolescent Child Magnetic Resonance Imaging Brain Mapping Female Sensitivity and Specificity Male Neural Pathways Nerve Net Attention Deficit Disorder with Hyperactivity
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A neural network algorithm for detection of GI angiectasia during small-bowel capsule endoscopy.

Gastrointestinal endoscopy Jul 11, 2018
BACKGROUND AND AIMS: GI angiectasia (GIA) is the most common small-bowel (SB) vascular lesion, with an inherent risk of bleeding. SB capsule endoscopy (SB-CE) is the currently accepted diagnostic procedure. The aim of this study was to develop a comp...
Angiodysplasia Capsule Endoscopy Intestine, Small Intestinal Diseases Aged Aged, 80 and over Sensitivity and Specificity Humans Male Diagnosis, Computer-Assisted Algorithms Neural Networks, Computer Middle Aged Predictive Value of Tests Female
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PCG Classification Using Multidomain Features and SVM Classifier.

BioMed research international Jul 9, 2018
This paper proposes a method using multidomain features and support vector machine (SVM) for classifying normal and abnormal heart sound recordings. The database was provided by the PhysioNet/CinC Challenge 2016. A total of 515 features are extracted...
Heart Sounds Sensitivity and Specificity Support Vector Machine Entropy Humans Algorithms Databases, Factual
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Extending PubMed searches to ClinicalTrials.gov through a machine learning approach for systematic reviews.

Journal of clinical epidemiology Jul 5, 2018
OBJECTIVES: Despite their essential role in collecting and organizing published medical literature, indexed search engines are unable to cover all relevant knowledge. Hence, current literature recommends the inclusion of clinical trial registries in ...
Humans Machine Learning Sensitivity and Specificity Data Mining Information Storage and Retrieval Clinical Trials as Topic Search Engine Systematic Reviews as Topic Meta-Analysis as Topic PubMed
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Detecting intertrochanteric hip fractures with orthopedist-level accuracy using a deep convolutional neural network.

Skeletal radiology Jun 28, 2018
OBJECTIVE: To compare performances in diagnosing intertrochanteric hip fractures from proximal femoral radiographs between a convolutional neural network and orthopedic surgeons.
Hip Fractures Adult Male Neural Networks, Computer Orthopedic Surgeons Middle Aged Sensitivity and Specificity Retrospective Studies Clinical Competence Female Humans Aged Aged, 80 and over Femoral Fractures
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A new computational intelligence approach to detect autistic features for autism screening.

International journal of medical informatics Jun 27, 2018
Autism Spectrum Disorder (ASD) is one of the fastest growing developmental disability diagnosis. General practitioners (GPs) and family physicians are typically the first point of contact for patients or family members concerned with ASD traits obser...
Adolescent Humans Autism Spectrum Disorder Child Machine Learning Female Intelligence Adult Algorithms Sensitivity and Specificity Phenotype Male
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Deep-learned 3D black-blood imaging using automatic labelling technique and 3D convolutional neural networks for detecting metastatic brain tumors.

Scientific reports Jun 21, 2018
Black-blood (BB) imaging is used to complement contrast-enhanced 3D gradient-echo (CE 3D-GRE) imaging for detecting brain metastases, requiring additional scan time. In this study, we proposed deep-learned 3D BB imaging with an auto-labelling techniq...
Female Aged Sensitivity and Specificity Middle Aged Deep Learning Brain Neoplasms Male Humans Imaging, Three-Dimensional Magnetic Resonance Imaging Blood Vessels
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A Novel Artificial Neural Network Based Sleep-Disordered Breathing Screening Tool.

Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine Jun 15, 2018
STUDY OBJECTIVES: This study evaluated a novel artificial neural network (ANN) based sleep-disordered breathing (SDB) screening tool incorporating nocturnal pulse oximetry with demographic, anatomic, and clinical data. The tool was compatible with 6 ...
Male Middle Aged Sleep Apnea Syndromes Humans Female Oximetry Sensitivity and Specificity Neural Networks, Computer
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