AIMC Topic: Aged, 80 and over

Clear Filters Showing 1611 to 1620 of 3475 articles

Predictors of Stroke Outcome Extracted from Multivariate Linear Discriminant Analysis or Neural Network Analysis.

Journal of atherosclerosis and thrombosis Dec 9, 2020
AIM: The prediction of functional outcome is essential in the management of acute ischemic stroke patients. We aimed to explore the various prognostic factors with multivariate linear discriminant analysis or neural network analysis and evaluate the ...
Alkaline Phosphatase Nutritional Status Multivariate Analysis Female Risk Factors Aged Aged, 80 and over Male Predictive Value of Tests Ischemic Stroke Discriminant Analysis Middle Aged Regression Analysis Recovery of Function Humans Neural Networks, Computer Machine Learning Prognosis Retrospective Studies
View on PubMed DOI

A large-scale internal validation study of unsupervised virtual trichrome staining technologies on nonalcoholic steatohepatitis liver biopsies.

Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc Dec 9, 2020
Non-alcoholic steatohepatitis (NASH) is a fatty liver disease characterized by accumulation of fat in hepatocytes with concurrent inflammation and is associated with morbidity, cirrhosis and liver failure. After extraction of a liver core biopsy, tis...
Young Adult Adult Male Middle Aged Severity of Illness Index Liver Cirrhosis Liver Predictive Value of Tests Adolescent Child Staining and Labeling Clinical Decision-Making Female Reproducibility of Results Aged Aged, 80 and over Humans Neural Networks, Computer Software Decision Support Techniques Retrospective Studies Image Interpretation, Computer-Assisted Eosine Yellowish-(YS) Hematoxylin Methyl Green Biopsy Non-alcoholic Fatty Liver Disease Coloring Agents Microscopy Azo Compounds
View on PubMed DOI

Vital signs assessed in initial clinical encounters predict COVID-19 mortality in an NYC hospital system.

Scientific reports Dec 9, 2020
Timely and effective clinical decision-making for COVID-19 requires rapid identification of risk factors for disease outcomes. Our objective was to identify characteristics available immediately upon first clinical evaluation related COVID-19 mortali...
Middle Aged Predictive Value of Tests Models, Biological Vital Signs New York City Machine Learning Pandemics COVID-19 Retrospective Studies Female Aged Aged, 80 and over Male SARS-CoV-2 Risk Factors Hospitalization Humans
View on PubMed DOI

Hip Fracture Surgery without Transfusion in Patients with Hemoglobin Less Than 10 g/dL.

Clinics in orthopedic surgery Dec 8, 2020
BACKGROUD: Hip fracture surgery is associated with blood loss, which may lead to adverse patient outcomes. The hemoglobin level declines gradually in most hip fracture cases involving femoral neck fractures and intertrochanteric fractures. It decreas...
Tranexamic Acid Antifibrinolytic Agents Hip Fractures Male Trace Elements Iron Hemoglobins Erythropoietin Humans Retrospective Studies Female Aged Aged, 80 and over
View on PubMed DOI

XGBoost Model for Chronic Kidney Disease Diagnosis.

IEEE/ACM transactions on computational biology and bioinformatics Dec 8, 2020
Chronic Kidney Disease (CKD) is a menace that is affecting 10 percent of the world population and 15 percent of the South African population. The early and cheap diagnosis of this disease with accuracy and reliability will save 20,000 lives in South ...
Child Decision Support Systems, Clinical Renal Insufficiency, Chronic Models, Statistical Adult Middle Aged Diagnosis, Computer-Assisted Adolescent Child, Preschool Humans Artificial Intelligence Algorithms Reproducibility of Results Aged Aged, 80 and over Young Adult
View on PubMed DOI

Exploring dyserythropoiesis in patients with myelodysplastic syndrome by imaging flow cytometry and machine-learning assisted morphometrics.

Cytometry. Part B, Clinical cytometry Dec 7, 2020
BACKGROUND: The hallmark of myelodysplastic syndrome (MDS) remains dysplasia in the bone marrow (BM). However, diagnosing MDS may be challenging and subject to inter-observer variability. Thus, there is an unmet need for novel objective, standardized...
Humans Erythropoiesis Male Middle Aged Flow Cytometry Myelodysplastic Syndromes Erythroblasts Machine Learning Female Aged Aged, 80 and over Adult
View on PubMed DOI

Deep learning to diagnose cardiac amyloidosis from cardiovascular magnetic resonance.

Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance Dec 7, 2020
BACKGROUND: Cardiovascular magnetic resonance (CMR) is part of the diagnostic work-up for cardiac amyloidosis (CA). Deep learning (DL) is an application of artificial intelligence that may allow to automatically analyze CMR findings and establish the...
Reproducibility of Results Aged Aged, 80 and over Male Ventricular Function, Left Humans Female Cardiomyopathy, Hypertrophic Hypertrophy, Left Ventricular Magnetic Resonance Imaging, Cine Amyloid Neuropathies, Familial Immunoglobulin Light-chain Amyloidosis Deep Learning Image Processing, Computer-Assisted Predictive Value of Tests Myocardium Ventricular Remodeling
View on PubMed DOI

Diagnosing uterine cervical cancer on a single T2-weighted image: Comparison between deep learning versus radiologists.

European journal of radiology Dec 5, 2020
PURPOSE: To compare deep learning with radiologists when diagnosing uterine cervical cancer on a single T2-weighted image.
Humans Young Adult Adult Uterine Cervical Neoplasms Middle Aged Deep Learning Radiologists Neural Networks, Computer Retrospective Studies Female Aged Aged, 80 and over
View on PubMed DOI

Continuous and automatic mortality risk prediction using vital signs in the intensive care unit: a hybrid neural network approach.

Scientific reports Dec 4, 2020
Mortality risk prediction can greatly improve the utilization of resources in intensive care units (ICUs). Existing schemes in ICUs today require laborious manual input of many complex parameters. In this work, we present a scheme that uses variation...
Vital Signs Middle Aged Risk Assessment Adolescent Hospital Mortality Patient Acuity Humans Neural Networks, Computer Algorithms Intensive Care Units Young Adult Adult Male Female Aged Aged, 80 and over
View on PubMed DOI

Simultaneous Diagnosis of Severity and Features of Diabetic Retinopathy in Fundus Photography Using Deep Learning.

IEEE journal of biomedical and health informatics Dec 4, 2020
Deep learning methods for diabetic retinopathy (DR) diagnosis are usually criticized as being lack of interpretability in the diagnostic result, thus limiting their application in clinic. Simultaneous prediction of DR related features during the DR s...
Humans Diabetic Retinopathy Female Aged Deep Learning Adolescent Child ROC Curve Image Interpretation, Computer-Assisted Photography Aged, 80 and over Young Adult Adult Male Middle Aged
View on PubMed DOI
Popular Topics
Recent Journals