AIMC Topic: Sensitivity and Specificity

Clear Filters Showing 1781 to 1790 of 3084 articles

Automated identification for autism severity level: EEG analysis using empirical mode decomposition and second order difference plot.

Behavioural brain research Jan 11, 2019
BACKGROUND: Previous automated EEG-based diagnosis of autism spectrum disorders (ASD) using various nonlinear EEG analysis methods were limited to distinguish only children with ASD from those normally developed without approaching their autistic fea...
Female Sensitivity and Specificity Male Child, Preschool Child Electroencephalography Signal Processing, Computer-Assisted Humans Autistic Disorder Neural Networks, Computer Behavior Autism Spectrum Disorder
View on PubMed DOI

Role of interleukin-3 as a prognostic marker in septic patients.

Revista Brasileira de terapia intensiva Jan 10, 2019
OBJECTIVE: To evaluate the accuracy of IL-3 to predict the outcome of septic patients.
Sensitivity and Specificity Female Male Reproducibility of Results Cohort Studies Middle Aged Humans Aged Hospital Mortality Sepsis Prospective Studies Adult Shock, Septic Prognosis Predictive Value of Tests Intensive Care Units Interleukin-3
View on PubMed DOI

Using Machine Learning to Identify Change in Surgical Decision Making in Current Use of Damage Control Laparotomy.

Journal of the American College of Surgeons Jan 9, 2019
BACKGROUND: In an earlier study, we reported the successful reduction in the use of damage control laparotomy (DCL); however, no change in the relative frequencies of specific indications was observed. In this study, we aimed to use machine learning ...
Male Middle Aged Blood Transfusion Blood Pressure Patient Selection Quality Improvement Laparotomy Abdominal Injuries Trauma Severity Indices Clinical Decision-Making Female Humans Young Adult Machine Learning Adult Algorithms Sensitivity and Specificity Retrospective Studies
View on PubMed DOI

Artificial intelligence to predict needs for urgent revascularization from 12-leads electrocardiography in emergency patients.

PloS one Jan 9, 2019
BACKGROUND: Patient with acute coronary syndrome benefits from early revascularization. However, methods for the selection of patients who require urgent revascularization from a variety of patients visiting the emergency room with chest symptoms is ...
Diagnosis, Computer-Assisted Time Factors Electrocardiography Diagnosis, Differential Predictive Value of Tests Humans Neural Networks, Computer Prognosis Sensitivity and Specificity Datasets as Topic Myocardial Revascularization Decision Making, Computer-Assisted Emergency Service, Hospital Patient Selection Chest Pain Acute Coronary Syndrome
View on PubMed DOI

Alternative Diagnosis of Epilepsy in Children Without Epileptiform Discharges Using Deep Convolutional Neural Networks.

International journal of neural systems Jan 8, 2019
Numerous nonepileptic paroxysmal events, such as syncope and psychogenic nonepileptic seizures, may imitate seizures and impede diagnosis. Misdiagnosis can lead to mistreatment, affecting patients' lives considerably. Electroencephalography is common...
Tourette Syndrome Child Electroencephalography Epilepsy Female Syncope Sensitivity and Specificity Male Humans Deep Learning Pilot Projects
View on PubMed DOI

Qoala-T: A supervised-learning tool for quality control of FreeSurfer segmented MRI data.

NeuroImage Jan 8, 2019
Performing quality control to detect image artifacts and data-processing errors is crucial in structural magnetic resonance imaging, especially in developmental studies. Currently, many studies rely on visual inspection by trained raters for quality ...
Child Support Vector Machine Longitudinal Studies Magnetic Resonance Imaging Quality Control Datasets as Topic Neuroimaging Conduct Disorder Human Development Adult Sensitivity and Specificity Cross-Sectional Studies Adolescent Humans Autism Spectrum Disorder Brain Young Adult
View on PubMed DOI

Feasibility of a Support Vector Machine Classifier for Myofascial Pain Syndrome: Diagnostic Case-Control Study.

Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine Jan 7, 2019
OBJECTIVES: Myofascial pain syndrome (MPS) is the most common cause of chronic pain worldwide. The diagnosis of MPS is subjective, which has created a need for a robust quantitative method of diagnosing MPS. We propose that using a support vector mac...
Case-Control Studies Ultrasonography Support Vector Machine Syndrome Feasibility Studies Young Adult Adult Sensitivity and Specificity Male Superficial Back Muscles Myofascial Pain Syndromes Humans Algorithms Female
View on PubMed DOI

Screening for cardiac contractile dysfunction using an artificial intelligence-enabled electrocardiogram.

Nature medicine Jan 7, 2019
Asymptomatic left ventricular dysfunction (ALVD) is present in 3-6% of the general population, is associated with reduced quality of life and longevity, and is treatable when found. An inexpensive, noninvasive screening tool for ALVD in the doctor's ...
Humans Neural Networks, Computer Middle Aged Adult Artificial Intelligence ROC Curve Heart Sensitivity and Specificity Electrocardiography Female Myocardial Contraction Male Mass Screening Aged Stroke Volume Aged, 80 and over
View on PubMed DOI

Artificial intelligence for the real-time classification of intrapapillary capillary loop patterns in the endoscopic diagnosis of early oesophageal squamous cell carcinoma: A proof-of-concept study.

United European gastroenterology journal Jan 6, 2019
BACKGROUND: Intrapapillary capillary loops (IPCLs) represent an endoscopically visible feature of early squamous cell neoplasia (ESCN) which correlate with invasion depth - an important factor in the success of curative endoscopic therapy. IPCLs visu...
Sensitivity and Specificity Humans Male Neovascularization, Pathologic Artificial Intelligence Image Processing, Computer-Assisted Esophageal Squamous Cell Carcinoma Early Detection of Cancer Female Esophagoscopy Taiwan Reproducibility of Results
View on PubMed DOI

DeepSqueak: a deep learning-based system for detection and analysis of ultrasonic vocalizations.

Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology Jan 4, 2019
Rodents engage in social communication through a rich repertoire of ultrasonic vocalizations (USVs). Recording and analysis of USVs has broad utility during diverse behavioral tests and can be performed noninvasively in almost any rodent behavioral m...
Deep Learning Signal Processing, Computer-Assisted Ultrasonic Waves Vocalization, Animal Rodentia Sensitivity and Specificity Animals
View on PubMed DOI
Popular Topics
Recent Journals