AIMC Topic: Sensitivity and Specificity

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Evaluation of a commercial quantitative Aspergillus fumigatus-specific IgM assay for the diagnosis of invasive pulmonary aspergillosis.

Medicine Dec 1, 2017
Invasive pulmonary aspergillosis (IPA) is a common fungal infection with high mortality rates in immunocompromised patients. Early diagnosis of IPA is still challenging because of its nonspecific clinical symptoms and radiological presentations.To ev...
Immunoglobulin M Female Reagent Kits, Diagnostic Aged Humans Aged, 80 and over Pulmonary Aspergillosis Prospective Studies Young Adult Adult Sensitivity and Specificity Male Middle Aged Aspergillus fumigatus
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NT-proBNP test with improved accuracy for the diagnosis of chronic heart failure.

Medicine Dec 1, 2017
The circulating concentration of N-terminal pro-brain natriuretic peptide (NT-proBNP) has been shown to be a diagnostic tool for the detection of heart failure. Several factors influence NT-proBNP levels including age, sex, and body mass index (BMI)....
Echocardiography, Doppler Heart Failure Sex Factors Diagnostic Tests, Routine Natriuretic Peptide, Brain Databases, Factual Age Factors Biomarkers Chronic Disease Retrospective Studies Area Under Curve Female Aged Middle Aged Peptide Fragments Severity of Illness Index Aged, 80 and over Humans Risk Assessment China Sensitivity and Specificity ROC Curve Male
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Computer-Aided Diagnosis of Lung Nodules in Computed Tomography by Using Phylogenetic Diversity, Genetic Algorithm, and SVM.

Journal of digital imaging Dec 1, 2017
Lung cancer is pointed as the major cause of death among patients with cancer throughout the world. This work is intended to develop a methodology for diagnosis of lung nodules using images from the Image Database Consortium and Image Database Resour...
Humans Tomography, X-Ray Computed Reproducibility of Results Sensitivity and Specificity Lung Neoplasms Support Vector Machine Solitary Pulmonary Nodule Genetic Variation Pattern Recognition, Automated Lung Phylogeny Diagnosis, Computer-Assisted Image Processing, Computer-Assisted
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Points of Significance: Machine learning: a primer.

Nature methods Nov 30, 2017
Machine learning extracts general principles from observed examples without explicit instructions.
Models, Biological Hormones Humans Machine Learning Algorithms Sensitivity and Specificity
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Usual Interstitial Pneumonia Can Be Detected in Transbronchial Biopsies Using Machine Learning.

Annals of the American Thoracic Society Nov 1, 2017
RATIONALE: Usual interstitial pneumonia (UIP) is the histopathologic hallmark of idiopathic pulmonary fibrosis. Although UIP can be detected by high-resolution computed tomography of the chest, the results are frequently inconclusive, and pathology f...
Sensitivity and Specificity Aged Male Idiopathic Pulmonary Fibrosis Aged, 80 and over Middle Aged ROC Curve Diagnosis, Differential Humans Young Adult Lung Logistic Models Gene Expression Adult Machine Learning Sequence Analysis, RNA Adolescent Biopsy Tomography, X-Ray Computed Cohort Studies Female
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Prediction of persistent post-surgery pain by preoperative cold pain sensitivity: biomarker development with machine-learning-derived analysis.

British journal of anaesthesia Oct 1, 2017
BACKGROUND: To prevent persistent post-surgery pain, early identification of patients at high risk is a clinical need. Supervised machine-learning techniques were used to test how accurately the patients' performance in a preoperatively performed ton...
Finland Pain Supervised Machine Learning Cold Temperature Preoperative Care Humans Biomarkers Female Reproducibility of Results Breast Neoplasms Predictive Value of Tests Pain, Postoperative Risk Factors Sensitivity and Specificity
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The use of natural language processing on pediatric diagnostic radiology reports in the electronic health record to identify deep venous thrombosis in children.

Journal of thrombosis and thrombolysis Oct 1, 2017
Venous thromboembolism (VTE) is a potentially life-threatening condition that includes both deep vein thrombosis (DVT) and pulmonary embolism. We sought to improve detection and reporting of children with a new diagnosis of VTE by applying natural la...
Humans Prospective Studies Electronic Health Records Ultrasonography Venous Thrombosis Natural Language Processing Radiology Venous Thromboembolism Sensitivity and Specificity Adolescent Child, Preschool Child
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Application of a Natural Language Processing Algorithm to Asthma Ascertainment. An Automated Chart Review.

American journal of respiratory and critical care medicine Aug 15, 2017
RATIONALE: Difficulty of asthma ascertainment and its associated methodologic heterogeneity have created significant barriers to asthma care and research.
Child, Preschool Male Humans Child Retrospective Studies Prevalence Natural Language Processing Electronic Health Records Risk Factors Adolescent Minnesota Asthma Cohort Studies Female Sensitivity and Specificity Reproducibility of Results
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Thyroid Nodule Classification in Ultrasound Images by Fine-Tuning Deep Convolutional Neural Network.

Journal of digital imaging Aug 1, 2017
With many thyroid nodules being incidentally detected, it is important to identify as many malignant nodules as possible while excluding those that are highly likely to be benign from fine needle aspiration (FNA) biopsies or surgeries. This paper pre...
Humans Neural Networks, Computer Sensitivity and Specificity Ultrasonography Thyroid Nodule Biopsy, Fine-Needle Diagnosis, Computer-Assisted Thyroid Gland
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Malignancy Detection on Mammography Using Dual Deep Convolutional Neural Networks and Genetically Discovered False Color Input Enhancement.

Journal of digital imaging Aug 1, 2017
Breast cancer is the most prevalent malignancy in the US and the third highest cause of cancer-related mortality worldwide. Regular mammography screening has been attributed with doubling the rate of early cancer detection over the past three decades...
Image Enhancement Sensitivity and Specificity Breast Neoplasms Mammography Datasets as Topic Humans Neural Networks, Computer Algorithms Female
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