AIMC Topic: Sensitivity and Specificity

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A machine-learning approach to predict postprandial hypoglycemia.

BMC medical informatics and decision making Nov 6, 2019
BACKGROUND: For an effective artificial pancreas (AP) system and an improved therapeutic intervention with continuous glucose monitoring (CGM), predicting the occurrence of hypoglycemia accurately is very important. While there have been many studies...
Logistic Models Hypoglycemic Agents Support Vector Machine Hypoglycemia Blood Glucose Self-Monitoring Retrospective Studies Adult Sensitivity and Specificity Blood Glucose Humans Machine Learning Algorithms
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Validation of a Deep Learning Algorithm for Diabetic Retinopathy.

Telemedicine journal and e-health : the official journal of the American Telemedicine Association Nov 4, 2019
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Deep Learning Diabetes Mellitus Humans Mass Screening Diabetic Retinopathy Diagnostic Techniques, Ophthalmological Algorithms Ophthalmologists Sensitivity and Specificity
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White blood cells detection and classification based on regional convolutional neural networks.

Medical hypotheses Nov 4, 2019
White blood cells (WBC) are important parts of our immune system and they protect our body against infections by eliminating viruses, bacteria, parasites and fungi. There are five types of WBC. These are called Lymphocytes, Monocytes, Eosinophils, Ba...
Leukocytes Eosinophils Lymphocytes Pattern Recognition, Automated Deep Learning Image Processing, Computer-Assisted Monocytes Neutrophils Humans Neural Networks, Computer Software Algorithms Reproducibility of Results Sensitivity and Specificity Diagnosis, Computer-Assisted
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Automated Breast Cancer Diagnosis Based on Machine Learning Algorithms.

Journal of healthcare engineering Nov 3, 2019
There have been several empirical studies addressing breast cancer using machine learning and soft computing techniques. Many claim that their algorithms are faster, easier, or more accurate than others are. This study is based on genetic programming...
Sensitivity and Specificity Breast Neoplasms Breast Image Interpretation, Computer-Assisted Algorithms Humans Databases, Factual Machine Learning Female Reproducibility of Results
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Machine learning to predict 30-day quality-adjusted survival in critically ill patients with cancer.

Journal of critical care Nov 2, 2019
PURPOSE: To develop and compare the predictive performance of machine-learning algorithms to estimate the risk of quality-adjusted life year (QALY) lower than or equal to 30 days (30-day QALY).
Humans Critical Illness Intensive Care Units Female Hospitalization Aged Machine Learning Algorithms Prospective Studies Prognosis Area Under Curve Signal Processing, Computer-Assisted Probability Pattern Recognition, Automated Brazil False Positive Reactions Hospitals, Public Neoplasms Adult Quality of Life Sensitivity and Specificity ROC Curve Male Decision Trees Middle Aged
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Development of a deep learning model to identify hyperdense MCA sign in patients with acute ischemic stroke.

Japanese journal of radiology Oct 31, 2019
PURPOSE: The aim of this study was to develop an interactive deep learning-assisted identification of the hyperdense middle cerebral artery (MCA) sign (HMCAS) on non-contrast computed tomography (CT) among patients with acute ischemic stroke.
Male Deep Learning ROC Curve Radiographic Image Interpretation, Computer-Assisted Stroke Brain Ischemia Middle Cerebral Artery Tomography, X-Ray Computed Humans Female Retrospective Studies Aged Sensitivity and Specificity
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Comparison of Bagging and Boosting Ensemble Machine Learning Methods for Automated EMG Signal Classification.

BioMed research international Oct 31, 2019
The neuromuscular disorders are diagnosed using electromyographic (EMG) signals. Machine learning algorithms are employed as a decision support system to diagnose neuromuscular disorders. This paper compares bagging and boosting ensemble learning met...
Middle Aged Signal Processing, Computer-Assisted Adolescent Young Adult Humans Child Electromyography Adult Machine Learning Muscular Diseases Muscle, Skeletal Sensitivity and Specificity Databases, Factual Male Female
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Toward Automated Bladder Tumor Stratification Using Confocal Laser Endomicroscopy.

Journal of endourology Oct 29, 2019
Urothelial carcinoma of the bladder (UCB) is the most common urinary cancer. White-light cystoscopy (WLC) forms the corner stone for the diagnosis of UCB. However, histopathological assessment is required for adjuvant treatment selection. Probe-base...
Humans Intravital Microscopy Neural Networks, Computer Area Under Curve Neoplasm Grading Image Interpretation, Computer-Assisted Carcinoma, Transitional Cell Cystoscopy Sensitivity and Specificity Image Processing, Computer-Assisted Microscopy, Confocal Urinary Bladder Neoplasms
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Incorporating feature selection methods into a machine learning-based neonatal seizure diagnosis.

Medical hypotheses Oct 28, 2019
The present study developed a feature selection (FS)-based decision support system using the electroencephalography (EEG) signals recorded from neonates with and without seizures. The study employed 10 different FS algorithms to reduce the classifica...
Signal Processing, Computer-Assisted Humans False Positive Reactions Diagnosis, Computer-Assisted Decision Support Systems, Clinical Machine Learning Cluster Analysis Algorithms Electroencephalography Infant, Newborn Seizures Sensitivity and Specificity
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Anomaly Detection of Moderate Traumatic Brain Injury Using Auto-Regularized Multi-Instance One-Class SVM.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Oct 24, 2019
Detection and quantification of functional deficits due to moderate traumatic brain injury (mTBI) is crucial for clinical decision-making and timely commencement of functional therapy. In this work, we explore magnetoencephalography (MEG) based funct...
Beta Rhythm Brain Injuries, Traumatic Glasgow Coma Scale Humans Automation Neural Pathways Algorithms Magnetoencephalography Databases, Factual Brain Male Female Young Adult Adolescent Adult Support Vector Machine Sensitivity and Specificity Magnetic Resonance Imaging
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