AIMC Topic: Sensitivity and Specificity

Clear Filters Showing 1521 to 1530 of 2880 articles

Minimizing postprandial hypoglycemia in Type 1 diabetes patients using multiple insulin injections and capillary blood glucose self-monitoring with machine learning techniques.

Computer methods and programs in biomedicine Jun 27, 2019
BACKGROUND: Diabetic patients treated with intensive insulin therapies require a tight glycemic control and may benefit from advanced tools to predict blood glucose (BG) concentration levels and hypo/hyperglycemia events. Prediction systems using mac...
Male Blood Glucose Self-Monitoring Middle Aged Capillaries Diabetes Mellitus, Type 1 Blood Glucose False Positive Reactions Hypoglycemic Agents Insulin Retrospective Studies Normal Distribution Bayes Theorem Humans Female Insulin Infusion Systems Hypoglycemia Machine Learning Reproducibility of Results Postprandial Period Algorithms Adult Computer Simulation Sensitivity and Specificity
View on PubMed DOI

Automatic Multi-Level In-Exhale Segmentation and Enhanced Generalized S-Transform for wheezing detection.

Computer methods and programs in biomedicine Jun 26, 2019
BACKGROUND AND OBJECTIVE: Wheezing is a common symptom of patients caused by asthma and chronic obstructive pulmonary diseases. Wheezing detection identifies wheezing lung sounds and helps physicians in diagnosis, monitoring, and treatment of pulmona...
Humans Machine Learning Software Algorithms Respiratory Sounds Support Vector Machine Artifacts Monitoring, Physiologic Medical Informatics Models, Statistical Pattern Recognition, Automated Signal Processing, Computer-Assisted False Positive Reactions Telemedicine Female Reproducibility of Results Adult Sensitivity and Specificity Male
View on PubMed DOI

Performance of a Deep-Learning Neural Network to Detect Intracranial Aneurysms from 3D TOF-MRA Compared to Human Readers.

Clinical neuroradiology Jun 21, 2019
PURPOSE: To study the clinical potential of a deep learning neural network (convolutional neural networks [CNN]) as a supportive tool for detection of intracranial aneurysms from 3D time-of-flight magnetic resonance angiography (TOF-MRA) by comparing...
Middle Aged Deep Learning Clinical Competence Imaging, Three-Dimensional Magnetic Resonance Angiography Intracranial Aneurysm Humans Retrospective Studies Female Sensitivity and Specificity Male
View on PubMed DOI

Feasibility of Natural Language Processing-Assisted Auditing of Critical Findings in Chest Radiology.

Journal of the American College of Radiology : JACR Jun 21, 2019
OBJECTIVE: Time-sensitive communication of critical imaging findings like pneumothorax or pulmonary embolism to referring physicians is essential for patient safety. The definitive communication is the radiology free-text report. Quality assurance in...
Tomography, X-Ray Computed Female Sensitivity and Specificity Male Pilot Projects United States Natural Language Processing Feasibility Studies Quality Improvement Academic Medical Centers Automation Humans Radiology Information Systems Machine Learning Radiography, Thoracic Research Design Retrospective Studies
View on PubMed DOI

Automated detection of third molars and mandibular nerve by deep learning.

Scientific reports Jun 21, 2019
The approximity of the inferior alveolar nerve (IAN) to the roots of lower third molars (M3) is a risk factor for the occurrence of nerve damage and subsequent sensory disturbances of the lower lip and chin following the removal of third molars. To a...
Mandibular Nerve Tooth Extraction Trigeminal Nerve Injuries Tooth, Impacted Sensitivity and Specificity Deep Learning Molar, Third Radiography, Panoramic Humans Reproducibility of Results Risk Factors
View on PubMed DOI

Application of Deep Learning in Quantitative Analysis of 2-Dimensional Ultrasound Imaging of Nonalcoholic Fatty Liver Disease.

Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine Jun 20, 2019
OBJECTIVES: To verify the value of deep learning in diagnosing nonalcoholic fatty liver disease (NAFLD) by comparing 3 image-processing techniques.
Evaluation Studies as Topic Sensitivity and Specificity Non-alcoholic Fatty Liver Disease Severity of Illness Index Image Interpretation, Computer-Assisted Deep Learning Ultrasonography Liver
View on PubMed DOI

Automatic identification of atherosclerosis subjects in a heterogeneous MR brain imaging data set.

Magnetic resonance imaging Jun 19, 2019
Carotid-artery atherosclerosis (CA) contributes significantly to overall morbidity and mortality in ischemic stroke. We propose a machine learning technique to automatically identify subjects with CA from a heterogeneous cohort of magnetic resonance ...
Pattern Recognition, Automated Neuroimaging Aged, 80 and over Carotid Arteries Adult White Matter Sensitivity and Specificity Male Middle Aged Humans Cohort Studies Support Vector Machine Brain Magnetic Resonance Imaging Female Atherosclerosis Reproducibility of Results Multiple Sclerosis Aged
View on PubMed DOI

Using natural language processing of clinical text to enhance identification of opioid-related overdoses in electronic health records data.

Pharmacoepidemiology and drug safety Jun 19, 2019
PURPOSE: To enhance automated methods for accurately identifying opioid-related overdoses and classifying types of overdose using electronic health record (EHR) databases.
Heroin Washington Datasets as Topic Humans Drug Overdose Electronic Health Records Self-Injurious Behavior Sensitivity and Specificity Risk Predictive Value of Tests Natural Language Processing Analgesics, Opioid Opioid-Related Disorders
View on PubMed DOI

Presurgical differentiation between malignant haemangiopericytoma and angiomatous meningioma by a radiomics approach based on texture analysis.

Journal of neuroradiology = Journal de neuroradiologie Jun 18, 2019
PURPOSE: To assess whether a machine-learning model based on texture analysis (TA) could yield a more accurate diagnosis in differentiating malignant haemangiopericytoma (HPC) from angiomatous meningioma (AM).
Humans Male Middle Aged Diagnosis, Computer-Assisted Magnetic Resonance Imaging Preoperative Care Machine Learning Retrospective Studies Female Adult Sensitivity and Specificity Meningioma Meningeal Neoplasms Neuroradiography Hemangiopericytoma
View on PubMed DOI

Predicting Breast Cancer by Applying Deep Learning to Linked Health Records and Mammograms.

Radiology Jun 18, 2019
Background Computational models on the basis of deep neural networks are increasingly used to analyze health care data. However, the efficacy of traditional computational models in radiology is a matter of debate. Purpose To evaluate the accuracy and...
Humans Retrospective Studies Electronic Health Records Deep Learning Mammography Predictive Value of Tests Radiographic Image Interpretation, Computer-Assisted Breast Female Reproducibility of Results Sensitivity and Specificity Breast Neoplasms Middle Aged
View on PubMed DOI
Popular Topics
Recent Journals