AIMC Topic: Aged, 80 and over

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Comparison of supervised machine learning classification techniques in prediction of locoregional recurrences in early oral tongue cancer.

International journal of medical informatics Dec 28, 2019
BACKGROUND: The proper estimate of the risk of recurrences in early-stage oral tongue squamous cell carcinoma (OTSCC) is mandatory for individual treatment-decision making. However, this remains a challenge even for experienced multidisciplinary cent...
Combined Modality Therapy Aged, 80 and over Supervised Machine Learning Brazil Humans Tongue Neoplasms Young Adult Adolescent Algorithms Chemoradiotherapy Support Vector Machine Incidence Adult Prognosis Finland Cohort Studies Male Female Decision Trees Child Middle Aged Aged Bayes Theorem Mouth Neoplasms Neoplasm Recurrence, Local
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Comparison of the predictive outcomes for anti-tuberculosis drug-induced hepatotoxicity by different machine learning techniques.

Computer methods and programs in biomedicine Dec 27, 2019
BACKGROUND: The study compared the predictive outcomes of artificial neural network, support vector machine and random forest on the occurrence of anti-tuberculosis drug-induced hepatotoxicity.
ROC Curve Genomics Genotype Support Vector Machine Liver Taiwan Humans Antitubercular Agents Tuberculosis Chemical and Drug Induced Liver Injury Neural Networks, Computer Gene Frequency Adult Machine Learning Polymorphism, Genetic Sensitivity and Specificity Female Male Reproducibility of Results Middle Aged Risk Factors Drug Discovery Aged Aged, 80 and over
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Deep learning approaches for plethysmography signal quality assessment in the presence of atrial fibrillation.

Physiological measurement Dec 27, 2019
OBJECTIVE: Photoplethysmography (PPG) monitoring has been implemented in many portable and wearable devices we use daily for health and fitness tracking. Its simplicity and cost-effectiveness has enabled a variety of biomedical applications, such as ...
Plethysmography Aged Aged, 80 and over Young Adult Adult Humans Male Female Middle Aged Deep Learning Support Vector Machine Signal Processing, Computer-Assisted Atrial Fibrillation
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Hypergraph based multi-task feature selection for multimodal classification of Alzheimer's disease.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Dec 19, 2019
Multi-modality based classification methods are superior to the single modality based approaches for the automatic diagnosis of the Alzheimer's disease (AD) and mild cognitive impairment (MCI). However, most of the multi-modality based methods usuall...
Humans Pattern Recognition, Automated Male Neuroimaging Machine Learning Female Brain Mapping Aged Multimodal Imaging Aged, 80 and over Alzheimer Disease Image Interpretation, Computer-Assisted
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Enhanced Diagnosis of Severe Aortic Stenosis Using Artificial Intelligence: A Proof-of-Concept Study of 530,871 Echocardiograms.

JACC. Cardiovascular imaging Dec 18, 2019
Proof of Concept Study Ventricular Function, Left Echocardiography Middle Aged Severity of Illness Index Hemodynamics Female Diagnosis, Computer-Assisted Humans Aged Aortic Valve Stenosis Artificial Intelligence Aged, 80 and over Aortic Valve Databases, Factual Adult Predictive Value of Tests Prognosis Male Image Interpretation, Computer-Assisted
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A multi-model deep convolutional neural network for automatic hippocampus segmentation and classification in Alzheimer's disease.

NeuroImage Dec 16, 2019
Alzheimer's disease (AD) is a progressive and irreversible brain degenerative disorder. Mild cognitive impairment (MCI) is a clinical precursor of AD. Although some treatments can delay its progression, no effective cures are available for AD. Accura...
Neuroimaging Models, Theoretical Magnetic Resonance Imaging Alzheimer Disease Image Interpretation, Computer-Assisted Hippocampus Humans Neural Networks, Computer Female Aged Aged, 80 and over Sensitivity and Specificity Male Cognitive Dysfunction
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Improving gesture-based interaction between an assistive bathing robot and older adults via user training on the gestural commands.

Archives of gerontology and geriatrics Dec 13, 2019
BACKGROUND: Gesture-based human-robot interaction (HRI) depends on the technical performance of the robot-integrated gesture recognition system (GRS) and on the gestural performance of the robot user, which has been shown to be rather low in older ad...
Baths Computer User Training Male Gestures Humans Robotics Activities of Daily Living Female Self-Help Devices Aged Aged, 80 and over
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Macrolide combination therapy for patients hospitalised with community-acquired pneumonia? An individualised approach supported by machine learning.

The European respiratory journal Dec 12, 2019
BACKGROUND: The role of macrolide/β-lactam combination therapy in community-acquired pneumonia (CAP) of moderate severity is a matter of debate. Macrolides expand the coverage to atypical pathogens and attenuate pulmonary inflammation, but have been ...
Female Hospitalization Aged Aged, 80 and over Adult Humans Machine Learning Anti-Bacterial Agents Prospective Studies Drug Therapy, Combination Propensity Score Macrolides Pneumonia, Bacterial Community-Acquired Infections beta-Lactams Male Middle Aged Severity of Illness Index Treatment Outcome Europe
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Deep Learning for Fall Risk Assessment With Inertial Sensors: Utilizing Domain Knowledge in Spatio-Temporal Gait Parameters.

IEEE journal of biomedical and health informatics Dec 11, 2019
Fall risk assessment is essential to predict and prevent falls in geriatric populations, especially patients with life-long conditions like neurological disorders. Inertial sensor-based pervasive gait analysis systems have become viable means to faci...
Humans Algorithms Female Aged Wearable Electronic Devices Equipment Design Gait Analysis Aged, 80 and over Male Risk Assessment Deep Learning Accidental Falls
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Exploring the perceptions of people with dementia about the social robot PARO in a hospital setting.

Dementia (London, England) Dec 10, 2019
New technology, such as social robots, opens up new opportunities in hospital settings. PARO, a robotic pet seal, was designed to provide emotional and social support for older people with dementia. We applied video-ethnographic methods, including co...
Humans Female Robotics Perception Social Interaction Aged Aged, 80 and over Male Hospitals Dementia
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