AIMC Topic: Middle Aged

Clear Filters Showing 16621 to 16630 of 17155 articles

Automatic recognition of holistic functional brain networks using iteratively optimized convolutional neural networks (IO-CNN) with weak label initialization.

Medical image analysis Jul 1, 2018
fMRI data decomposition techniques have advanced significantly from shallow models such as Independent Component Analysis (ICA) and Sparse Coding and Dictionary Learning (SCDL) to deep learning models such Deep Belief Networks (DBN) and Convolutional...
Child, Preschool Child Image Processing, Computer-Assisted Magnetic Resonance Imaging Brain Mapping Autistic Disorder Female Adult Male Middle Aged Adolescent Humans Neural Networks, Computer Software Algorithms
View on PubMed DOI

Inclusion of Unstructured Clinical Text Improves Early Prediction of Death or Prolonged ICU Stay.

Critical care medicine Jul 1, 2018
OBJECTIVES: Early prediction of undesired outcomes among newly hospitalized patients could improve patient triage and prompt conversations about patients' goals of care. We evaluated the performance of logistic regression, gradient boosting machine, ...
Male Middle Aged Length of Stay Hospital Mortality Natural Language Processing Retrospective Studies Intensive Care Units Female Aged Patient Care Planning Humans Machine Learning Decision Support Techniques
View on PubMed DOI

The Development of a Machine Learning Inpatient Acute Kidney Injury Prediction Model.

Critical care medicine Jul 1, 2018
OBJECTIVES: To develop an acute kidney injury risk prediction model using electronic health record data for longitudinal use in hospitalized patients.
Acute Kidney Injury Electronic Health Records Female Reproducibility of Results Male Humans Machine Learning Algorithms Renal Replacement Therapy Creatinine Middle Aged ROC Curve Models, Statistical Area Under Curve
View on PubMed DOI

Using Smartphones and Machine Learning to Quantify Parkinson Disease Severity: The Mobile Parkinson Disease Score.

JAMA neurology Jul 1, 2018
IMPORTANCE: Current Parkinson disease (PD) measures are subjective, rater-dependent, and assessed in clinic. Smartphones can measure PD features, yet no smartphone-derived rating score exists to assess motor symptom severity in real-world settings.
Gait Analysis Male Middle Aged Voice Severity of Illness Index Dopamine Agents Mobile Applications Humans Smartphone Machine Learning Parkinson Disease Female Postural Balance Reaction Time Aged Gait
View on PubMed DOI

Improving Hip-Worn Accelerometer Estimates of Sitting Using Machine Learning Methods.

Medicine and science in sports and exercise Jul 1, 2018
PURPOSE: This study aimed to improve estimates of sitting time from hip-worn accelerometers used in large cohort studies by using machine learning methods developed on free-living activPAL data.
Machine Learning Algorithms Female Aged Breast Neoplasms Humans Monitoring, Ambulatory Accelerometry Sitting Position Hip Survivors Cross-Sectional Studies Middle Aged Exercise Pilot Projects Thigh
View on PubMed DOI

False-positive Troponin I Assay elevation due to occult Mixed Cryoglobulinemic Vasculitis.

Reviews in cardiovascular medicine Jun 30, 2018
A 53-year-old man with active hepatitis C and cirrhosis presented with a vasculitic rash, myalgias, and fatigue, and was found to have an elevated cardiac troponin I up to 15.7 ng/mL with normal electrocardiogram, echocardiogram, and coronary angiogr...
Rheumatoid Factor Humans Up-Regulation Biomarkers Vasculitis Troponin I Diagnostic Errors Middle Aged Male Predictive Value of Tests Cryoglobulinemia Immunoassay False Positive Reactions Hepatitis C Liver Cirrhosis, Alcoholic Heart Diseases
View on PubMed DOI

Renal Function Estimates and Dosing of Direct Oral Anticoagulants in Stroke Patients with Atrial Fibrillation: An Observational Study.

Acta neurologica Taiwanica Jun 15, 2018
PURPOSE: Appropriate dosing of direct oral anticoagulants (DOACs) requires consideration of renal function. Discordance between commonly used estimated glomerular filtration rate (eGFR) and creatinine clearance (CrCl) might affect the dosing appropri...
Humans Anticoagulants Stroke Aged Atrial Fibrillation Aged, 80 and over Dabigatran Middle Aged Rivaroxaban
View on PubMed

Examining the Ability of Artificial Neural Networks Machine Learning Models to Accurately Predict Complications Following Posterior Lumbar Spine Fusion.

Spine Jun 15, 2018
STUDY DESIGN: A cross-sectional database study.
Machine Learning Databases, Factual Prognosis Female Cross-Sectional Studies Male Middle Aged Humans Postoperative Complications Neural Networks, Computer Spinal Fusion Lumbar Vertebrae
View on PubMed DOI

Deep Learning for Predicting Refractive Error From Retinal Fundus Images.

Investigative ophthalmology & visual science Jun 1, 2018
PURPOSE: We evaluate how deep learning can be applied to extract novel information such as refractive error from retinal fundus imaging.
Humans Retina Algorithms Datasets as Topic Visual Fields Vision Tests Female Aged Adult Middle Aged Male Refraction, Ocular Refractive Errors Deep Learning Fundus Oculi
View on PubMed DOI

Diagnostic Accuracy of a Machine-Learning Approach to Coronary Computed Tomographic Angiography-Based Fractional Flow Reserve: Result From the MACHINE Consortium.

Circulation. Cardiovascular imaging Jun 1, 2018
BACKGROUND: Coronary computed tomographic angiography (CTA) is a reliable modality to detect coronary artery disease. However, CTA generally overestimates stenosis severity compared with invasive angiography, and angiographic stenosis does not necess...
Aged Male Middle Aged Severity of Illness Index Deep Learning United States Europe Predictive Value of Tests Coronary Angiography Humans Computed Tomography Angiography Prospective Studies Radiographic Image Interpretation, Computer-Assisted Coronary Stenosis Retrospective Studies Coronary Artery Disease Female Coronary Vessels Reproducibility of Results Fractional Flow Reserve, Myocardial Asia
View on PubMed DOI
Popular Topics
Recent Journals