AIMC Topic: Reference Values

Clear Filters Showing 61 to 70 of 76 articles

Development and Validation of Quantile Regression Forests for Prediction of Reference Quantiles in Handgrip and Chair-Stand Test.

Journal of cachexia, sarcopenia and muscle Jun 1, 2025
BACKGROUND: Muscle strength is one of the key components in the diagnosis of sarcopenia. The aim of this study was to train a machine learning model to predict reference values and percentiles for handgrip strength and chair-stand test (CST), in a la...
Humans Male Middle Aged Hand Strength Sarcopenia Italy Machine Learning Reference Values Female Aged Aged, 80 and over Adult
View on PubMed DOI

Cytopathological quantification of NORs using artificial intelligence to oral cancer screening.

Brazilian oral research Jan 1, 2025
Oral squamous cell carcinoma (OSCC) remains the most prevalent neoplasm of the head and neck. In recent decades, the incidence and prevalence of OSCC have not significantly changed, highlighting the critical need to develop and implement new risk ass...
Early Detection of Cancer Mouth Neoplasms Reference Values Antigens, Nuclear Nucleolus Organizer Region Reproducibility of Results Risk Factors Humans Sensitivity and Specificity Neural Networks, Computer Risk Assessment Artificial Intelligence Case-Control Studies Carcinoma, Squamous Cell
View on PubMed DOI

Quantitative Analysis of Spinal Canal Areas in the Lumbar Spine: An Imaging Informatics and Machine Learning Study.

AJNR. American journal of neuroradiology Sep 1, 2019
BACKGROUND AND PURPOSE: Quantitative imaging biomarkers have not been established for the diagnosis of spinal canal stenosis. This work aimed to lay the groundwork to establish such biomarkers by leveraging the developments in machine learning and me...
Male Humans Middle Aged Spinal Stenosis Machine Learning Magnetic Resonance Imaging Spinal Canal Female Lumbar Vertebrae Aged Reference Values Adult
View on PubMed DOI

Detection of Brain Activation in Unresponsive Patients with Acute Brain Injury.

The New England journal of medicine Jun 27, 2019
BACKGROUND: Brain activation in response to spoken motor commands can be detected by electroencephalography (EEG) in clinically unresponsive patients. The prevalence and prognostic importance of a dissociation between commanded motor behavior and bra...
Neurologic Examination Glasgow Coma Scale Electroencephalography Reference Values Glasgow Outcome Scale Motor Activity Unconsciousness Prognosis Intensive Care Units Female Aged Adult Male Middle Aged Cognition Support Vector Machine Brain Injuries Area Under Curve Humans Prospective Studies Brain
View on PubMed DOI

Robot Diagnosis Test for Egocentric and Allocentric Hemineglect.

Archives of clinical neuropsychology : the official journal of the National Academy of Neuropsychologists Jun 1, 2019
OBJECTIVE: Patients with hemineglect fail to respond to egocentric stimuli or allocentric parts of stimuli contralateral to the brain lesion. The clinical diagnosis of hemineglect mainly involves evaluation of the egocentric form, while less sensitiv...
Humans Female Reproducibility of Results Middle Aged Case-Control Studies Diagnosis, Computer-Assisted Robotics Stroke Reference Values Aged Aged, 80 and over Adult Sensitivity and Specificity Male Attention Functional Laterality Neuropsychological Tests Space Perception Perceptual Disorders
View on PubMed DOI

A Cancer Paradox: Machine-Learning Backed Propensity-Score Analysis of Coronary Angiography Findings in Cardio-Oncology.

The Journal of invasive cardiology Jan 1, 2019
OBJECTIVES: Cancer has been proposed as a cardiovascular risk factor. We aimed to assess the cardiovascular risk profile and coronary angiography (CA) findings of cancer patients and compare them to those of patients without cancer.
Texas Cancer Care Facilities Reference Values Sex Factors Academic Medical Centers Multivariate Analysis Propensity Score Aged Aged, 80 and over Male Risk Assessment Neoplasms Humans Prevalence Machine Learning Retrospective Studies Female Case-Control Studies Logistic Models Age Factors Coronary Angiography Coronary Artery Disease
View on PubMed DOI

Predicting individual physiologically acceptable states at discharge from a pediatric intensive care unit.

Journal of the American Medical Informatics Association : JAMIA Dec 1, 2018
OBJECTIVE: Quantify physiologically acceptable PICU-discharge vital signs and develop machine learning models to predict these values for individual patients throughout their PICU episode.
Humans Neural Networks, Computer Machine Learning Infant Adolescent Reference Values Child, Preschool Vital Signs Child Intensive Care Units, Pediatric Regression Analysis Patient Discharge
View on PubMed DOI

Estimating Normal Values of Rare T-Lymphocyte Populations in Peripheral Blood of Healthy Cuban Adults.

MEDICC review Oct 1, 2018
INTRODUCTION Flow cytometry allows immunophenotypic characterization of important lymphocyte subpopulations for diagnosis of diseases such as cancer, autoimmune diseases, immunodeficiencies and some infections. Normal values of rare lymphoid cells in...
CD4 Lymphocyte Count Reference Values Adult Sex Factors Killer Cells, Natural Male CD4-CD8 Ratio Lymphocyte Count Middle Aged Cuba T-Lymphocyte Subsets Humans Adolescent Female Age Factors Aged Aged, 80 and over Young Adult
View on PubMed DOI

Intravoxel Incoherent Motion: Model-Free Determination of Tissue Type in Abdominal Organs Using Machine Learning.

Investigative radiology Dec 1, 2017
PURPOSE: For diffusion data sets including low and high b-values, the intravoxel incoherent motion model is commonly applied to characterize tissue. The aim of the present study was to show that machine learning allows a model-free approach to determ...
Principal Component Analysis Motion Reference Values Spleen Diffusion Magnetic Resonance Imaging Echo-Planar Imaging Image Processing, Computer-Assisted Kidney Abdomen Humans Cluster Analysis Machine Learning Liver Female Algorithms Reproducibility of Results Young Adult Adult Male
View on PubMed DOI

Arterial stiffness and 25-hydroxyvitamin D levels in chronic kidney disease patients.

Revista da Associacao Medica Brasileira (1992) Oct 1, 2017
OBJECTIVE: Arterial stiffness refers to arterial wall rigidity, particularly developing in central vessels. Arterial stiffness increases in early stage chronic kidney disease (CKD), and it is a strong predictor of cardiovascular and all cause mortali...
Renal Insufficiency, Chronic Glomerular Filtration Rate Vitamin D Cross-Sectional Studies Vitamin D Deficiency Vascular Stiffness Humans Radioimmunoassay Blood Pressure Reference Standards Female Male Pulse Wave Analysis Statistics, Nonparametric Middle Aged Aged Reference Values Prevalence Turkey Time Factors Sex Factors
View on PubMed DOI
Popular Topics
Recent Journals