AIMC Topic: Sensitivity and Specificity

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Automatic Prediction of Atrial Fibrillation Based on Convolutional Neural Network Using a Short-term Normal Electrocardiogram Signal.

Journal of Korean medical science Feb 15, 2019
BACKGROUND: In this study, we propose a method for automatically predicting atrial fibrillation (AF) based on convolutional neural network (CNN) using a short-term normal electrocardiogram (ECG) signal.
Electrocardiography Humans Atrial Fibrillation Automation Neural Networks, Computer Sensitivity and Specificity Deep Learning
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High-Quality Immunohistochemical Stains Through Computational Assay Parameter Optimization.

IEEE transactions on bio-medical engineering Feb 13, 2019
Accurate profiling of tumors using immunohistochemistry (IHC) is essential in cancer diagnosis. The inferences drawn from IHC-stained images depend to a great extent on the quality of immunostaining, which is in turn affected strongly by assay parame...
Sensitivity and Specificity Breast Neoplasms Humans Coloring Agents Biomarkers, Tumor Machine Learning Immunohistochemistry Staining and Labeling Automation, Laboratory Microfluidic Analytical Techniques Female
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ECM-CSD: An Efficient Classification Model for Cancer Stage Diagnosis in CT Lung Images Using FCM and SVM Techniques.

Journal of medical systems Feb 12, 2019
As is eminent, lung cancer is one of the death frightening syndromes among people in present cases. The earlier diagnosis and treatment of lung cancer can increase the endurance rate of the affected people. But, the structure of the cancer cell makes...
Neoplasm Staging Humans Radiographic Image Interpretation, Computer-Assisted Algorithms Lung Neoplasms Tomography, X-Ray Computed Support Vector Machine Sensitivity and Specificity Fuzzy Logic Image Processing, Computer-Assisted
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A systematic review shows no performance benefit of machine learning over logistic regression for clinical prediction models.

Journal of clinical epidemiology Feb 11, 2019
OBJECTIVES: The objective of this study was to compare performance of logistic regression (LR) with machine learning (ML) for clinical prediction modeling in the literature.
Algorithms Sensitivity and Specificity Logistic Models Models, Theoretical Predictive Value of Tests Area Under Curve Supervised Machine Learning Outcome Assessment, Health Care Humans
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Natural language processing to identify ureteric stones in radiology reports.

Journal of medical imaging and radiation oncology Feb 5, 2019
INTRODUCTION: Natural language processing (NLP) is an emerging tool which has the ability to automate data extraction from large volumes of unstructured text. One of the main described uses of NLP in radiology is cohort building for epidemiological s...
Tomography, X-Ray Computed Sensitivity and Specificity Cross-Sectional Studies Big Data Natural Language Processing Radiography, Abdominal Ureteral Calculi Humans Retrospective Studies
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Severe Dengue Prognosis Using Human Genome Data and Machine Learning.

IEEE transactions on bio-medical engineering Feb 4, 2019
UNLABELLED: Dengue has become one of the most important worldwide arthropod-borne diseases. Dengue phenotypes are based on laboratorial and clinical exams, which are known to be inaccurate.
Brazil Case-Control Studies Polymorphism, Single Nucleotide Genotype Machine Learning Phenotype Prognosis Sensitivity and Specificity Predictive Value of Tests Genome, Human Severe Dengue Humans
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Deep convolutional neural network for the diagnosis of thyroid nodules on ultrasound.

Head & neck Feb 4, 2019
BACKGROUND: We designed a deep convolutional neural network (CNN) to diagnose thyroid malignancy on ultrasound (US) and compared the diagnostic performance of CNN with that of experienced radiologists.
Neural Networks, Computer Databases, Factual Retrospective Studies Female Humans ROC Curve Neoplasm Staging Image Processing, Computer-Assisted Middle Aged Observer Variation Neoplasm Invasiveness Cohort Studies Area Under Curve Adult Ultrasonography, Doppler Thyroid Neoplasms Sensitivity and Specificity Male Thyroid Nodule
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Potential roles of artificial intelligence learning and faecal immunochemical testing for prioritisation of colonoscopy in anaemia.

British journal of haematology Feb 3, 2019
Iron deficiency anaemia (IDA) is the most common cause of anaemia and a frequent indication for colonoscopy, although the prevalence of colorectal cancer (CRC) in IDA is low. Measurement of faecal haemoglobin by immunochemical techniques (FIT) is use...
Adult Sensitivity and Specificity Colorectal Neoplasms Male Artificial Intelligence Female Aged Aged, 80 and over Predictive Value of Tests Anemia, Iron-Deficiency Referral and Consultation Occult Blood Humans Middle Aged Colonoscopy Cohort Studies Early Detection of Cancer
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Detection of pulmonary ground-glass opacity based on deep learning computer artificial intelligence.

Biomedical engineering online Jan 22, 2019
BACKGROUND: A deep learning computer artificial intelligence system is helpful for early identification of ground glass opacities (GGOs).
Reproducibility of Results Sensitivity and Specificity Lung Diagnosis, Computer-Assisted Humans Deep Learning Radiology Image Processing, Computer-Assisted Radiographic Image Interpretation, Computer-Assisted Algorithms Lung Neoplasms False Positive Reactions Databases, Factual Solitary Pulmonary Nodule Tomography, X-Ray Computed
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Seizure detection by convolutional neural network-based analysis of scalp electroencephalography plot images.

NeuroImage. Clinical Jan 22, 2019
We hypothesized that expert epileptologists can detect seizures directly by visually analyzing EEG plot images, unlike automated methods that analyze spectro-temporal features or complex, non-stationary features of EEG signals. If so, seizure detecti...
Deep Learning Adult Electroencephalography Humans Adolescent Sensitivity and Specificity Seizures Female Child Male Scalp Young Adult Image Processing, Computer-Assisted Middle Aged Epilepsies, Partial
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