AIMC Topic: Aged, 80 and over

Clear Filters Showing 2401 to 2410 of 3658 articles

Evaluation of Machine-Learning Algorithms for Predicting Opioid Overdose Risk Among Medicare Beneficiaries With Opioid Prescriptions.

JAMA network open Mar 1, 2019
IMPORTANCE: Current approaches to identifying individuals at high risk for opioid overdose target many patients who are not truly at high risk.
Machine Learning Algorithms Female Aged Aged, 80 and over Humans Analgesics, Opioid Medicare Drug Overdose Medical Informatics Applications Prescriptions Male Middle Aged Risk Assessment Cohort Studies United States
View on PubMed DOI

Scoring upper-extremity motor function from EEG with artificial neural networks: a preliminary study.

Journal of neural engineering Feb 28, 2019
OBJECTIVE: Motor function of chronic stroke survivors is generally accessed using clinical motor assessments. These motor assessments are partially subjective and require prior training for the examiners. Additionally, those motor function assessment...
Aged, 80 and over Adult Male Middle Aged Recovery of Function Electroencephalography Stroke Upper Extremity Stroke Rehabilitation Humans Neural Networks, Computer Brain Female Aged
View on PubMed DOI

Machine learning-based prediction of heart failure readmission or death: implications of choosing the right model and the right metrics.

ESC heart failure Feb 27, 2019
AIMS: Machine learning (ML) is widely believed to be able to learn complex hidden interactions from the data and has the potential in predicting events such as heart failure (HF) readmission and death. Recent studies have revealed conflicting results...
Aged ROC Curve Aged, 80 and over Follow-Up Studies Quality Indicators, Health Care Humans Survival Rate Western Australia Machine Learning Cause of Death Male Retrospective Studies Heart Failure Time Factors Female Patient Readmission
View on PubMed DOI

Detection of mild cognitive impairment in a community-dwelling population using quantitative, multiparametric MRI-based classification.

Human brain mapping Feb 25, 2019
Early and accurate mild cognitive impairment (MCI) detection within a heterogeneous, nonclinical population is needed to improve care for persons at risk of developing dementia. Magnetic resonance imaging (MRI)-based classification may aid early diag...
Independent Living Multiparametric Magnetic Resonance Imaging Middle Aged Cognitive Dysfunction Models, Theoretical Humans Alzheimer Disease Machine Learning Diffusion Tensor Imaging Female Retrospective Studies Aged Aged, 80 and over Male
View on PubMed DOI

A novel machine-learning-based infection screening system via 2013-2017 seasonal influenza patients' vital signs as training datasets.

The Journal of infection Feb 22, 2019
Child Mass Screening Predictive Value of Tests Influenza, Human Vital Signs Sensitivity and Specificity Male Middle Aged Adolescent Clinical Decision Rules Humans Machine Learning Female Aged Aged, 80 and over Young Adult Adult
View on PubMed DOI

Hybrid multivariate pattern analysis combined with extreme learning machine for Alzheimer's dementia diagnosis using multi-measure rs-fMRI spatial patterns.

PloS one Feb 22, 2019
BACKGROUND: Early diagnosis of Alzheimer's disease (AD) and Mild Cognitive Impairment (MCI) is essential for timely treatment. Machine learning and multivariate pattern analysis (MVPA) for the diagnosis of brain disorders are explicitly attracting at...
Brain Mapping Humans Aged, 80 and over Republic of Korea Alzheimer Disease Male Female Cognitive Dysfunction Aged Support Vector Machine Magnetic Resonance Imaging
View on PubMed DOI

Recognizing Physical Activity of Older People from Wearable Sensors and Inconsistent Data.

Sensors (Basel, Switzerland) Feb 20, 2019
The physiological monitoring of older people using wearable sensors has shown great potential in improving their quality of life and preventing undesired events related to their health status. Nevertheless, creating robust predictive models from data...
Female Aged Aged, 80 and over Male Quality of Life Humans Neural Networks, Computer Machine Learning Algorithms Exercise Wearable Electronic Devices Monitoring, Physiologic
View on PubMed DOI

Machine learning models for predicting post-cystectomy recurrence and survival in bladder cancer patients.

PloS one Feb 20, 2019
Currently in patients with bladder cancer, various clinical evaluations (imaging, operative findings at transurethral resection and radical cystectomy, pathology) are collectively used to determine disease status and prognosis, and recommend neoadjuv...
Humans Machine Learning Databases, Factual Male Female Disease-Free Survival Middle Aged Aged Cystectomy Urinary Bladder Neoplasms Aged, 80 and over Models, Biological Survival Rate
View on PubMed DOI

Potential of a machine-learning model for dose optimization in CT quality assurance.

European radiology Feb 19, 2019
OBJECTIVES: To evaluate machine learning (ML) to detect chest CT examinations with dose optimization potential for quality assurance in a retrospective, cross-sectional study.
Young Adult Adult Cross-Sectional Studies Male Multidetector Computed Tomography Middle Aged Radiation Injuries Adolescent Thoracic Diseases Humans Quality Assurance, Health Care Machine Learning Radiation Dosage Radiography, Thoracic Retrospective Studies Female Aged Aged, 80 and over
View on PubMed DOI

Qualitative versus quantitative lumbar spinal stenosis grading by machine learning supported texture analysis-Experience from the LSOS study cohort.

European journal of radiology Feb 19, 2019
PURPOSE: To investigate and compare the reproducibility and accuracy of qualitative ratings and quantitative texture analysis (TA) in detection and grading of lumbar spinal stenosis (LSS) in magnetic resonance imaging (MR) scans of the lumbar spine.
Humans Machine Learning Algorithms Spinal Stenosis Male Female Outcome Assessment, Health Care Middle Aged Reproducibility of Results Observer Variation Cohort Studies Aged Reference Standards Magnetic Resonance Imaging Aged, 80 and over Lumbar Vertebrae
View on PubMed DOI
Popular Topics
Recent Journals