AIMC Topic: Aged, 80 and over

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Social Robots for People with Aging and Dementia: A Systematic Review of Literature.

Telemedicine journal and e-health : the official journal of the American Telemedicine Association Aug 23, 2018
Aged, 80 and over Animals Aging Quality of Life Social Support Self-Help Devices Stress, Psychological Humans Pets Cognitive Dysfunction Social Participation Aged Dementia Robotics Telemedicine
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Effect of Initial Graft Tension During Calcaneofibular Ligament Reconstruction on Ankle Kinematics and Laxity.

The American journal of sports medicine Aug 20, 2018
BACKGROUND: Although a variety of surgical procedures for lateral ankle ligament reconstruction have frequently been reported, little is known about the effects of initial graft tension. Purpose/Hypothesis: The purpose was to investigate the effects ...
Ankle Joint Tendons Joint Instability Orthopedic Procedures Lateral Ligament, Ankle Male Robotics Plastic Surgery Procedures Cadaver Range of Motion, Articular Humans Female Aged Aged, 80 and over Biomechanical Phenomena
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Improvement of Adequate Digoxin Dosage: An Application of Machine Learning Approach.

Journal of healthcare engineering Aug 19, 2018
Digoxin is a high-alert medication because of its narrow therapeutic range and high drug-to-drug interactions (DDIs). Approximately 50% of digoxin toxicity cases are preventable, which motivated us to improve the treatment outcomes of digoxin. The ob...
Decision Support Systems, Clinical Digoxin Anti-Arrhythmia Agents Aged, 80 and over Drug-Related Side Effects and Adverse Reactions Humans Young Adult Machine Learning Adult Female Male Aged Middle Aged
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Reproducible evaluation of classification methods in Alzheimer's disease: Framework and application to MRI and PET data.

NeuroImage Aug 18, 2018
A large number of papers have introduced novel machine learning and feature extraction methods for automatic classification of Alzheimer's disease (AD). However, while the vast majority of these works use the public dataset ADNI for evaluation, they ...
Image Processing, Computer-Assisted Magnetic Resonance Imaging Data Interpretation, Statistical Radiopharmaceuticals Female Alzheimer Disease Aged Humans Positron-Emission Tomography Aged, 80 and over Machine Learning Datasets as Topic Male Fluorodeoxyglucose F18 Middle Aged Neuroimaging Atlases as Topic
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Prevalence of and factors related to anxiety and depression symptoms among married patients with gynecological malignancies in China.

Asian journal of psychiatry Aug 18, 2018
OBJECTIVE: This study aims to investigate the prevalence of anxiety and depression among married patients with gynecological malignancies in China and then explores factors related to anxiety and depression.
Sleep Wake Disorders Depressive Disorder Marriage Comorbidity Humans Anxiety Disorders China Depression Genital Neoplasms, Female Adult Cross-Sectional Studies Middle Aged Prevalence Anxiety Neural Networks, Computer Female Aged Aged, 80 and over Young Adult
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Automatic hyoid bone detection in fluoroscopic images using deep learning.

Scientific reports Aug 17, 2018
The displacement of the hyoid bone is one of the key components evaluated in the swallow study, as its motion during swallowing is related to overall swallowing integrity. In daily research settings, experts visually detect the hyoid bone in the vide...
Young Adult Adult Male Humans Middle Aged Deep Learning Female Image Processing, Computer-Assisted Aged Models, Theoretical Aged, 80 and over Fluoroscopy Hyoid Bone
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Diagnostic outcomes of esophageal cancer by artificial intelligence using convolutional neural networks.

Gastrointestinal endoscopy Aug 16, 2018
BACKGROUND AND AIMS: The prognosis of esophageal cancer is relatively poor. Patients are usually diagnosed at an advanced stage when it is often too late for effective treatment. Recently, artificial intelligence (AI) using deep learning has made rem...
Humans Neural Networks, Computer Aged, 80 and over Sensitivity and Specificity Male Middle Aged Diagnosis, Computer-Assisted Artificial Intelligence Retrospective Studies Female Carcinoma, Squamous Cell Aged Tumor Burden Deep Learning Adenocarcinoma Predictive Value of Tests Esophageal Neoplasms Japan
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Predicting diabetic retinopathy and identifying interpretable biomedical features using machine learning algorithms.

BMC bioinformatics Aug 13, 2018
BACKGROUND: The risk factors of diabetic retinopathy (DR) were investigated extensively in the past studies, but it remains unknown which risk factors were more associated with the DR than others. If we can detect the DR related risk factors more acc...
Middle Aged ROC Curve Decision Support Systems, Clinical Diabetes Mellitus, Type 2 Risk Factors Aged Aged, 80 and over Adult Male Diabetic Retinopathy Neural Networks, Computer Humans Machine Learning Algorithms Female
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Activity-aware essential tremor evaluation using deep learning method based on acceleration data.

Parkinsonism & related disorders Aug 8, 2018
BACKGROUND: Essential tremor (ET), one of the most common neurological disorders is typically evaluated with validated rating scales which only provide a subjective assessment during a clinical visit, underestimating the fluctuations tremor during di...
Motor Activity Microcomputers Essential Tremor Male Middle Aged Deep Learning Monitoring, Ambulatory Accelerometry Humans Female Aged Aged, 80 and over Adult
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Improved perfusion pattern score association with type 2 diabetes severity using machine learning pipeline: Pilot study.

Journal of magnetic resonance imaging : JMRI Aug 5, 2018
BACKGROUND: Type 2 diabetes mellitus (T2DM) is associated with alterations in the blood-brain barrier, neuronal damage, and arterial stiffness, thus affecting cerebral metabolism and perfusion. There is a need to implement machine-learning methodolog...
Aged, 80 and over Cross-Sectional Studies Male Middle Aged Severity of Illness Index Machine Learning Prospective Studies Brain Female Aged Pilot Projects Diabetes Mellitus, Type 2 Magnetic Resonance Imaging Imaging, Three-Dimensional Humans Insulin Resistance Brain Mapping Longitudinal Studies Perfusion Cognition Disorders Linear Models
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