AIMC Topic: Sensitivity and Specificity

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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 Signal-To-Noise Ratio Electrocardiography Signal Processing, Computer-Assisted Arrhythmias, Cardiac
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Predicting non-melanoma skin cancer via a multi-parameterized artificial neural network.

Scientific reports Jan 26, 2018
Ultraviolet radiation (UVR) exposure and family history are major associated risk factors for the development of non-melanoma skin cancer (NMSC). The objective of this study was to develop and validate a multi-parameterized artificial neural network ...
Female Humans Skin Neoplasms Middle Aged Neural Networks, Computer Decision Support Techniques ROC Curve Sensitivity and Specificity Diagnostic Tests, Routine Male Early Diagnosis
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Machine learning techniques for medical diagnosis of diabetes using iris images.

Computer methods and programs in biomedicine Jan 11, 2018
BACKGROUND AND OBJECTIVE: Complementary and alternative medicine techniques have shown their potential for the treatment and diagnosis of chronical diseases like diabetes, arthritis etc. On the same time digital image processing techniques for diseas...
Case-Control Studies Diagnosis, Computer-Assisted Diabetes Mellitus, Type 2 Image Processing, Computer-Assisted Automation Iris Reproducibility of Results Humans Sensitivity and Specificity Machine Learning Male Female Middle Aged
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Tuberculosis diagnosis support analysis for precarious health information systems.

Computer methods and programs in biomedicine Jan 11, 2018
BACKGROUND AND OBJECTIVE: Pulmonary tuberculosis is a world emergency for the World Health Organization. Techniques and new diagnosis tools are important to battle this bacterial infection. There have been many advances in all those fields, but in de...
Diagnosis, Computer-Assisted Acquired Immunodeficiency Syndrome Tuberculosis, Pulmonary Colombia Ill-Housed Persons Diabetes Complications Health Information Systems Sensitivity and Specificity Male Middle Aged Public Health Female Young Adult Adult Humans Neural Networks, Computer
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Taxonomy of multi-focal nematode image stacks by a CNN based image fusion approach.

Computer methods and programs in biomedicine Jan 11, 2018
BACKGROUND AND OBJECTIVE: In the biomedical field, digital multi-focal images are very important for documentation and communication of specimen data, because the morphological information for a transparent specimen can be captured in form of a stack...
Sensitivity and Specificity Animals Image Processing, Computer-Assisted Support Vector Machine Neural Networks, Computer Algorithms Reproducibility of Results Linear Models Pattern Recognition, Automated Nematoda
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Revealing Alzheimer's disease genes spectrum in the whole-genome by machine learning.

BMC neurology Jan 10, 2018
BACKGROUND: Alzheimer's disease (AD) is an important, progressive neurodegenerative disease, with a complex genetic architecture. A key goal of biomedical research is to seek out disease risk genes, and to elucidate the function of these risk genes i...
Genome-Wide Association Study ROC Curve Area Under Curve Alzheimer Disease Humans Machine Learning Sensitivity and Specificity
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Alzheimer's disease diagnostics by a 3D deeply supervised adaptable convolutional network.

Frontiers in bioscience (Landmark edition) Jan 1, 2018
Early diagnosis is playing an important role in preventing progress of the Alzheimer's disease (AD). This paper proposes to improve the prediction of AD with a deep 3D Convolutional Neural Network (3D-CNN), which can show generic features capturing A...
Sensitivity and Specificity Imaging, Three-Dimensional Magnetic Resonance Imaging Alzheimer Disease Humans Neural Networks, Computer Algorithms Reproducibility of Results
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Clinical Significance of Urinary Biomarkers in Patients With Primary Focal Segmental Glomerulosclerosis.

The American journal of the medical sciences Dec 30, 2017
BACKGROUND: Focal segmental glomerulosclerosis (FSGS) is often accompanied with tubulointerstitial lesion. This study aimed to assess the role of urinary biomarkers in predicting tubulointerstitial lesion and treatment response in FSGS patients.
Glomerulosclerosis, Focal Segmental Kidney Tubules Adult Hepatitis A Virus Cellular Receptor 1 Humans Retinol-Binding Proteins Sensitivity and Specificity Acetylglucosaminidase Biomarkers Male Female Lipocalin-2
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Procalcitonin as Predictor of Bacterial Infection in Meconium Aspiration Syndrome.

American journal of perinatology Dec 29, 2017
BACKGROUND: There is a lack of definite consensus on indications for initiating antibiotics in neonates with meconium aspiration syndrome (MAS), instigating researchers to search for a biomarker that can help differentiate MAS from MAS with bacterial...
Female Male Bacterial Infections Humans ROC Curve Infant, Newborn C-Reactive Protein Biomarkers Neutrophils Sensitivity and Specificity Leukocyte Count Procalcitonin Meconium Aspiration Syndrome
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Computer-aided system for diagnosing thyroid nodules on ultrasound: A comparison with radiologist-based clinical assessments.

Head & neck Dec 29, 2017
BACKGROUND: The purpose of this study was to compare the diagnostic efficiency of a thyroid ultrasound computer-aided diagnosis (CAD) system with that of 1 radiologist.
Thyroid Neoplasms Thyroid Nodule ROC Curve Ultrasonography, Interventional Radiologists Humans Hospitals, University Retrospective Studies Image-Guided Biopsy Female Diagnosis, Computer-Assisted Adult China Sensitivity and Specificity Cohort Studies Male Thyroidectomy Middle Aged
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