AIMC Topic: Male

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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...
Gait Disorders, Neurologic Joints Leg Walking Speed Normal Distribution Biomechanical Phenomena Male Middle Aged Models, Statistical Healthy Volunteers Markov Chains Algorithms Anthropometry Female Robotics Aged Gait Young Adult Adult Humans
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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...
Female Aged Adult Sensitivity and Specificity Male Humans Databases, Factual Retrospective Studies Image Interpretation, Computer-Assisted Magnetic Resonance Imaging, Cine Middle Aged Deep Learning Chronic Disease Myocardial Infarction
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Streptococcus Gallolyticus endocarditis in patient with liver cirrhosis: a case report.

Journal of infection in developing countries Apr 30, 2019
Streptococcus gallolyticus (S. gallolyticus) bacteremia is commonly associated with endocarditis and diseases of gastrointestinal tract, especially with colorectal carcinoma. On the other side, it is rarely connected to liver disease, especially alco...
Humans Liver Cirrhosis Streptococcus gallolyticus Adult Aortic Valve Endocarditis Streptococcal Infections Male Alcoholism Fatal Outcome Hospitals Pericardial Effusion Serbia
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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...
Cohort Studies Machine Learning Follow-Up Studies Female Aged, 80 and over Humans Alzheimer Disease Aged Male Middle Aged Magnetic Resonance Imaging Dementia Predictive Value of Tests
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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.
Neural Networks, Computer Algorithms Female Young Adult Middle Aged Deep Learning Blood Pressure Determination Adult Male Humans Blood Pressure Automation Stethoscopes
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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 Retrospective Studies Female Corpus Striatum Middle Aged Tomography, Emission-Computed, Single-Photon Support Vector Machine Aged Iodine Radioisotopes Aged, 80 and over Parkinsonian Disorders Adult Male
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Comedic experience with two robots aided a child with autism spectrum disorder to realize the importance of nonverbal communication.

Psychiatry and clinical neurosciences Apr 29, 2019
Robotics Facial Expression Interpersonal Relations Nonverbal Communication Wit and Humor as Topic Humans Autism Spectrum Disorder Male Adolescent
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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 Data Mining Sex Factors Middle Aged ROC Curve Humans Socioeconomic Factors Neural Networks, Computer Support Vector Machine Female Risk Factors Male Algorithms Electronic Health Records
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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.
Spondylolisthesis Adult Male Middle Aged Dietary Supplements Spinal Fusion Humans Lumbar Vertebrae Female Pedicle Screws Robotics Aged 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...
Retrospective Studies Humans Electronic Health Records Machine Learning Coronary Angiography Middle Aged Female Phenotype Registries Risk Assessment Aged Acute Coronary Syndrome Comorbidity Male Logistic Models
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