AIMC Topic: Middle Aged

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Combination of Exoskeletal Upper Limb Robot and Occupational Therapy Improve Activities of Daily Living Function in Acute Stroke Patients.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Apr 30, 2019
PURPOSE: Previous studies have suggested that upper limb rehabilitation using therapeutic robots improves motor function of stroke patients. However, the effect of upper limb robotic rehabilitation on improving functioning in activities of daily livi...
Paresis Exoskeleton Device Motor Activity Upper Extremity Stroke Rehabilitation Stroke Combined Modality Therapy Japan Activities of Daily Living Adult Male Middle Aged Time Factors Treatment Outcome Recovery of Function Robotics Occupational Therapy Disability Evaluation Equipment Design Humans Female Aged
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Gaussian Process Trajectory Learning and Synthesis of Individualized Gait Motions.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Apr 30, 2019
This paper proposes a Gaussian process-based method for trajectory learning and generation of individualized gait motions at arbitrary user-designated walking speeds, intended to be used in generating reference motions for robotic gait rehabilitation...
Adult Biomechanical Phenomena Male Middle Aged Models, Statistical Robotics Gait Humans Healthy Volunteers Algorithms Markov Chains Female Aged Anthropometry Young Adult Normal Distribution Joints Leg Gait Disorders, Neurologic Walking Speed
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Deep Learning for Diagnosis of Chronic Myocardial Infarction on Nonenhanced Cardiac Cine MRI.

Radiology Apr 30, 2019
Background Renal impairment is common in patients with coronary artery disease and, if severe, late gadolinium enhancement (LGE) imaging for myocardial infarction (MI) evaluation cannot be performed. Purpose To develop a fully automatic framework for...
Humans Databases, Factual Retrospective Studies Female Aged Chronic Disease Myocardial Infarction Image Interpretation, Computer-Assisted Magnetic Resonance Imaging, Cine Adult Sensitivity and Specificity Male Middle Aged Deep Learning
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Prediction of Alzheimer's disease dementia with MRI beyond the short-term: Implications for the design of predictive models.

NeuroImage. Clinical Apr 30, 2019
Magnetic resonance imaging (MRI) volumetric measures have become a standard tool for the detection of incipient Alzheimer's Disease (AD) dementia in mild cognitive impairment (MCI). Focused on providing an earlier and more accurate diagnosis, sophist...
Follow-Up Studies Aged, 80 and over Humans Magnetic Resonance Imaging Male Machine Learning Predictive Value of Tests Middle Aged Female Alzheimer Disease Dementia Aged Cohort Studies
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Separation of water and fat signal in whole-body gradient echo scans using convolutional neural networks.

Magnetic resonance in medicine Apr 29, 2019
PURPOSE: To perform and evaluate water-fat signal separation of whole-body gradient echo scans using convolutional neural networks.
Magnetic Resonance Imaging Liver Adipose Tissue Body Water Whole Body Imaging Humans Neural Networks, Computer Algorithms Middle Aged Image Processing, Computer-Assisted
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A novel deep learning based automatic auscultatory method to measure blood pressure.

International journal of medical informatics Apr 29, 2019
BACKGROUND: It is clinically important to develop innovative techniques that can accurately measure blood pressures (BP) automatically.
Young Adult Blood Pressure Determination Adult Blood Pressure Male Automation Humans Middle Aged Stethoscopes Neural Networks, Computer Deep Learning Algorithms Female
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Classification of degenerative parkinsonism subtypes by support-vector-machine analysis and striatal I-FP-CIT indices.

Journal of neurology Apr 29, 2019
OBJECTIVES: To provide an automated classification method for degenerative parkinsonian syndromes (PS) based on semiquantitative I-FP-CIT SPECT striatal indices and support-vector-machine (SVM) analysis.
Humans Parkinsonian Disorders Corpus Striatum Tomography, Emission-Computed, Single-Photon Adult Male Middle Aged Support Vector Machine Iodine Radioisotopes Retrospective Studies Female Aged Aged, 80 and over
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Predicting coronary artery disease: a comparison between two data mining algorithms.

BMC public health Apr 29, 2019
BACKGROUND: Cardiovascular diseases (CADs) are the first leading cause of death across the world. World Health Organization has estimated that morality rate caused by heart diseases will mount to 23 million cases by 2030. Hence, the use of data minin...
Age Factors Predictive Value of Tests Coronary Artery Disease Humans Data Mining Sex Factors Neural Networks, Computer Middle Aged Algorithms ROC Curve Electronic Health Records Socioeconomic Factors Female Support Vector Machine Risk Factors Male
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Single position spinal surgery for the treatment of grade II spondylolisthesis: A technical note.

Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia Apr 28, 2019
BACKGROUND AND IMPORTANCE: Minimally invasive transpsoas approach to treat lumbar spondylolisthesis is associated with increased clinical benefits.
Spinal Fusion Lumbar Vertebrae Pedicle Screws Spondylolisthesis Humans Female Aged Adult Male Middle Aged Dietary Supplements Robotics Neurosurgical Procedures
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Extensive phenotype data and machine learning in prediction of mortality in acute coronary syndrome - the MADDEC study.

Annals of medicine Apr 27, 2019
Investigation of the clinical potential of extensive phenotype data and machine learning (ML) in the prediction of mortality in acute coronary syndrome (ACS). The value of ML and extensive clinical data was analyzed in a retrospective registry stud...
Risk Assessment Comorbidity Logistic Models Acute Coronary Syndrome Coronary Angiography Humans Registries Machine Learning Female Phenotype Aged Retrospective Studies Male Electronic Health Records Middle Aged
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