AIMC Topic: Sensitivity and Specificity

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Automatic CIN Grades Prediction of Sequential Cervigram Image Using LSTM With Multistate CNN Features.

IEEE journal of biomedical and health informatics Jun 13, 2019
Cervical cancer ranks as the second most common cancer in women worldwide. In clinical practice, colposcopy is an indispensable part of screening for cervical intraepithelial neoplasia (CIN) grades and cervical cancer but exhibits high misdiagnosis r...
Adult Sensitivity and Specificity Uterine Cervical Neoplasms Middle Aged Uterine Cervical Dysplasia Colposcopy Cervix Uteri Image Interpretation, Computer-Assisted Algorithms Female Aged Young Adult Humans Neural Networks, Computer
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Natural Language Processing to Quantify Microbial Keratitis Measurements.

Ophthalmology Jun 11, 2019
A natural language processing (NLP) algorithm to extract microbial keratitis morphology measurements from the electronic health record (EHR) was 75-96% sensitive and 91%-96% specific. NLP accurately extracts data from the corneal exam free-text EHR f...
Natural Language Processing Eye Infections, Bacterial Corneal Ulcer Humans Electronic Health Records Reproducibility of Results Sensitivity and Specificity
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A Deep Learning Approach for Automated Detection of Geographic Atrophy from Color Fundus Photographs.

Ophthalmology Jun 11, 2019
PURPOSE: To assess the utility of deep learning in the detection of geographic atrophy (GA) from color fundus photographs and to explore potential utility in detecting central GA (CGA).
Female Reproducibility of Results Aged Aged, 80 and over Middle Aged Deep Learning Humans Image Processing, Computer-Assisted Geographic Atrophy Area Under Curve Sensitivity and Specificity Diagnostic Techniques, Ophthalmological Male Photography Physical Examination
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An intelligent warning model for early prediction of cardiac arrest in sepsis patients.

Computer methods and programs in biomedicine Jun 11, 2019
BACKGROUND: Sepsis-associated cardiac arrest is a common issue with the low survival rate. Early prediction of cardiac arrest can provide the time required for intervening and preventing its onset in order to reduce mortality. Several studies have be...
Vital Signs Normal Distribution Heart Arrest Electronic Health Records Decision Trees Severity of Illness Index Monitoring, Ambulatory Female Adult Case-Control Studies Reproducibility of Results APACHE Sensitivity and Specificity Young Adult Sepsis Humans Multivariate Analysis Male Adolescent Machine Learning Middle Aged Algorithms Incidence
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Machine learning classifiers can predict Gleason pattern 4 prostate cancer with greater accuracy than experienced radiologists.

European radiology Jun 11, 2019
OBJECTIVE: The purpose of this study was: To test whether machine learning classifiers for transition zone (TZ) and peripheral zone (PZ) can correctly classify prostate tumors into those with/without a Gleason 4 component, and to compare the performa...
Middle Aged Clinical Competence Area Under Curve Prostatic Neoplasms Humans Neoplasm Grading Machine Learning Radiologists Retrospective Studies Biopsy Sensitivity and Specificity Image Interpretation, Computer-Assisted Male Diffusion Magnetic Resonance Imaging
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Using Machine Learning Algorithms to Predict Hepatitis B Surface Antigen Seroclearance.

Computational and mathematical methods in medicine Jun 11, 2019
Hepatitis B surface antigen (HBsAg) seroclearance during treatment is associated with a better prognosis among patients with chronic hepatitis B (CHB). Significant gaps remain in our understanding on how to predict HBsAg seroclearance accurately and ...
Hepatitis B Surface Antigens Male DNA, Viral Decision Trees Humans Middle Aged Female Area Under Curve Regression Analysis Machine Learning China Reproducibility of Results Hepatitis B, Chronic Computer Simulation ROC Curve Adult Prognosis Sensitivity and Specificity
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An automatic method for lung segmentation and reconstruction in chest X-ray using deep neural networks.

Computer methods and programs in biomedicine Jun 6, 2019
BACKGROUND AND OBJECTIVE: Chest X-ray (CXR) is one of the most used imaging techniques for detection and diagnosis of pulmonary diseases. A critical component in any computer-aided system, for either detection or diagnosis in digital CXR, is the auto...
Databases, Factual Reproducibility of Results Sensitivity and Specificity Lung Tuberculosis, Pulmonary Diagnosis, Computer-Assisted Humans Pattern Recognition, Automated Image Processing, Computer-Assisted Neural Networks, Computer Radiography, Thoracic Algorithms
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Deep Learning Approaches to Detect Atrial Fibrillation Using Photoplethysmographic Signals: Algorithms Development Study.

JMIR mHealth and uHealth Jun 6, 2019
BACKGROUND: Wearable devices have evolved as screening tools for atrial fibrillation (AF). A photoplethysmographic (PPG) AF detection algorithm was developed and applied to a convenient smartphone-based device with good accuracy. However, patients wi...
Humans Algorithms Prospective Studies Male Middle Aged Deep Learning Photoplethysmography Electrocardiography Female Reproducibility of Results Aged Sensitivity and Specificity Atrial Fibrillation Seoul
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Assessment of Machine Learning Detection of Environmental Enteropathy and Celiac Disease in Children.

JAMA network open Jun 5, 2019
IMPORTANCE: Duodenal biopsies from children with enteropathies associated with undernutrition, such as environmental enteropathy (EE) and celiac disease (CD), display significant histopathological overlap.
Celiac Disease Duodenum Biopsy Child Nutrition Disorders Malabsorption Syndromes Humans Neural Networks, Computer Machine Learning Prospective Studies Female Infant Child, Preschool Child Sensitivity and Specificity Male
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Deep Learning for the Radiographic Detection of Apical Lesions.

Journal of endodontics Jun 1, 2019
INTRODUCTION: We applied deep convolutional neural networks (CNNs) to detect apical lesions (ALs) on panoramic dental radiographs.
Neural Networks, Computer Sensitivity and Specificity Deep Learning ROC Curve Tooth
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