AIMC Topic: Sensitivity and Specificity

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Two-stage approach for risk estimation of fetal trisomy 21 and other aneuploidies using computational intelligence systems.

Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology Mar 4, 2018
OBJECTIVE: To estimate the risk of fetal trisomy 21 (T21) and other chromosomal abnormalities (OCA) at 11-13 weeks' gestation using computational intelligence classification methods.
Humans Artificial Intelligence Risk Assessment Pregnancy Pregnancy Trimester, First Female Down Syndrome Sensitivity and Specificity Prenatal Diagnosis
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Tissue classification and segmentation of pressure injuries using convolutional neural networks.

Computer methods and programs in biomedicine Mar 3, 2018
BACKGROUND AND OBJECTIVES: This paper presents a new approach for automatic tissue classification in pressure injuries. These wounds are localized skin damages which need frequent diagnosis and treatment. Therefore, a reliable and accurate systems fo...
Pressure Ulcer Models, Anatomic Algorithms Reproducibility of Results Models, Statistical Humans Sensitivity and Specificity Databases, Factual Necrosis Neural Networks, Computer Image Processing, Computer-Assisted Tomography, X-Ray Computed Wounds and Injuries Wound Healing
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Multi-channel multi-scale fully convolutional network for 3D perivascular spaces segmentation in 7T MR images.

Medical image analysis Feb 27, 2018
Accurate segmentation of perivascular spaces (PVSs) is an important step for quantitative study of PVS morphology. However, since PVSs are the thin tubular structures with relatively low contrast and also the number of PVSs is often large, it is chal...
Lymphatic System Imaging, Three-Dimensional Magnetic Resonance Imaging Pattern Recognition, Automated Image Enhancement Brain Reproducibility of Results Sensitivity and Specificity Humans Neural Networks, Computer Algorithms
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Automated Interpretation of Blood Culture Gram Stains by Use of a Deep Convolutional Neural Network.

Journal of clinical microbiology Feb 22, 2018
Microscopic interpretation of stained smears is one of the most operator-dependent and time-intensive activities in the clinical microbiology laboratory. Here, we investigated application of an automated image acquisition and convolutional neural net...
Humans Reproducibility of Results Sensitivity and Specificity Deep Learning Big Data Neural Networks, Computer Algorithms Automation, Laboratory Phenazines Blood Culture Gentian Violet Microscopy Image Interpretation, Computer-Assisted
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Predicting treatment outcome of drug-susceptible tuberculosis patients using machine-learning models.

Informatics for health & social care Feb 20, 2018
Tuberculosis (TB) is a deadly contagious disease and a serious global health problem. It is curable but due to its lengthy treatment process, a patient is likely to leave the treatment incomplete, leading to a more lethal, drug resistant form of dise...
Humans Machine Learning Sensitivity and Specificity Treatment Outcome Models, Statistical Decision Trees Antitubercular Agents Directly Observed Therapy Tuberculosis Interatrial Block Assessment of Medication Adherence
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High efficiency classification of children with autism spectrum disorder.

PloS one Feb 15, 2018
Autism spectrum disorder (ASD) is a wide-ranging collection of developmental diseases with varying symptoms and degrees of disability. Currently, ASD is diagnosed mainly with psychometric tools, often unable to provide an early and reliable diagnosis...
Sensitivity and Specificity Humans Child Biomarkers Support Vector Machine Autism Spectrum Disorder Least-Squares Analysis
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Machine learning for identifying Randomized Controlled Trials: An evaluation and practitioner's guide.

Research synthesis methods Feb 7, 2018
Machine learning (ML) algorithms have proven highly accurate for identifying Randomized Controlled Trials (RCTs) but are not used much in practice, in part because the best way to make use of the technology in a typical workflow is unclear. In this w...
Evidence-Based Medicine Search Engine Databases, Bibliographic Review Literature as Topic Information Storage and Retrieval Subject Headings Algorithms Reproducibility of Results Sensitivity and Specificity ROC Curve Support Vector Machine Randomized Controlled Trials as Topic Registries Humans Machine Learning
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GWAS-based machine learning approach to predict duloxetine response in major depressive disorder.

Journal of psychiatric research Feb 2, 2018
Major depressive disorder (MDD) is one of the most prevalent psychiatric disorders and is commonly treated with antidepressant drugs. However, large variability is observed in terms of response to antidepressants. Machine learning (ML) models may be ...
Duloxetine Hydrochloride Serotonin and Noradrenaline Reuptake Inhibitors Polymorphism, Single Nucleotide Female Support Vector Machine Adult Male Humans Outcome Assessment, Health Care Sensitivity and Specificity Middle Aged Prognosis Depressive Disorder, Major Genome-Wide Association Study
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Natural Language-based Machine Learning Models for the Annotation of Clinical Radiology Reports.

Radiology Jan 30, 2018
Purpose To compare different methods for generating features from radiology reports and to develop a method to automatically identify findings in these reports. Materials and Methods In this study, 96 303 head computed tomography (CT) reports were ob...
Humans Area Under Curve Radiology Machine Learning Tomography, X-Ray Computed Databases, Factual Electronic Health Records Sensitivity and Specificity Natural Language Processing
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Automatic QRS complex detection using two-level convolutional neural network.

Biomedical engineering online Jan 29, 2018
BACKGROUND: The QRS complex is the most noticeable feature in the electrocardiogram (ECG) signal, therefore, its detection is critical for ECG signal analysis. The existing detection methods largely depend on hand-crafted manual features and paramete...
Neural Networks, Computer Algorithms Sensitivity and Specificity Models, Theoretical Humans Electrocardiography Signal-To-Noise Ratio Signal Processing, Computer-Assisted Arrhythmias, Cardiac
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