AIMC Topic: Aged, 80 and over

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Single-slice Alzheimer's disease classification and disease regional analysis with Supervised Switching Autoencoders.

Computers in biology and medicine Oct 31, 2019
BACKGROUND: Alzheimer's disease (AD) is a difficult to diagnose pathology of the brain that progressively impairs cognitive functions. Computer-assisted diagnosis of AD based on image analysis is an emerging tool to support AD diagnosis. In this arti...
Image Interpretation, Computer-Assisted Middle Aged Adolescent Magnetic Resonance Imaging Supervised Machine Learning Alzheimer Disease Aged Aged, 80 and over Young Adult Adult Male Humans Neural Networks, Computer Brain Female
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Hash Transformation and Machine Learning-Based Decision-Making Classifier Improved the Accuracy Rate of Automated Parkinson's Disease Screening.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Oct 29, 2019
Digitalized hand-drawn pattern is a noninvasive and reproducible assistive manner to obtain hand actions and motions for evaluating functional tremors and upper-limb movement disorders. In this study, spirals and straight lines in polar coordinates a...
Male Middle Aged Female Mass Screening Nonlinear Dynamics Reproducibility of Results Parkinson Disease Automation Aged Diagnosis, Differential Humans False Positive Reactions Aged, 80 and over Decision Making, Computer-Assisted Machine Learning Adult Essential Tremor Algorithms
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Computational modeling of the effects of EEG volume conduction on functional connectivity metrics. Application to Alzheimer's disease continuum.

Journal of neural engineering Oct 29, 2019
OBJECTIVE: The aim of this study was to evaluate the effect of electroencephalographic (EEG) volume conduction in different measures of functional connectivity and to characterize the EEG coupling alterations at the different stages of dementia due t...
Humans Male Electroencephalography Alzheimer Disease Nerve Net Models, Anatomic Neural Networks, Computer Brain Female Aged Aged, 80 and over
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Can We Improve Prediction of Adverse Surgical Outcomes? Development of a Surgical Complexity Score Using a Novel Machine Learning Technique.

Journal of the American College of Surgeons Oct 28, 2019
BACKGROUND: An optimal method to quantify surgical complexity using patient comorbidities derived from administrative billing data is lacking. We sought to develop a novel, easy-to-use surgical Complexity Score to accurately predict adverse outcomes ...
Elective Surgical Procedures Systems Analysis Aged, 80 and over Male Postoperative Complications Cohort Studies Treatment Outcome Humans Machine Learning Forecasting Female Aged
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Data-efficient deep learning of radiological image data for outcome prediction after endovascular treatment of patients with acute ischemic stroke.

Computers in biology and medicine Oct 22, 2019
Treatment selection is becoming increasingly more important in acute ischemic stroke patient care. Clinical variables and radiological image biomarkers (old age, pre-stroke mRS, NIHSS, occlusion location, ASPECTS, among others) have an important role...
Aged Aged, 80 and over Male Middle Aged Postoperative Complications Predictive Value of Tests Registries Stroke Brain Ischemia Endovascular Procedures Humans Computed Tomography Angiography Neural Networks, Computer Cerebral Angiography Prospective Studies Female
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Chronic Obstructive Pulmonary Disease: Thoracic CT Texture Analysis and Machine Learning to Predict Pulmonary Ventilation.

Radiology Oct 22, 2019
Background Fixed airflow limitation and ventilation heterogeneity are common in chronic obstructive pulmonary disease (COPD). Conventional noncontrast CT provides airway and parenchymal measurements but cannot be used to directly determine lung funct...
Magnetic Resonance Imaging Pulmonary Ventilation Pulmonary Disease, Chronic Obstructive Male Middle Aged Support Vector Machine Longitudinal Studies Humans Machine Learning Prospective Studies Tomography, X-Ray Computed Female Aged Aged, 80 and over Adult
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Effect of Radiation Doses to the Heart on Survival for Stereotactic Ablative Radiotherapy for Early-stage Non-Small-cell Lung Cancer: An Artificial Neural Network Approach.

Clinical lung cancer Oct 21, 2019
INTRODUCTION: The cardiac radiation dose is an important predictor of cardiac toxicity and overall survival (OS) for patients with locally advanced non-small-cell lung cancer (NSCLC). However, radiation-induced cardiac toxicity among patients with ea...
Carcinoma, Non-Small-Cell Lung Follow-Up Studies Cardiotoxicity Humans Neoplasm Staging Aged, 80 and over Neural Networks, Computer Radiotherapy Dosage Survival Rate Retrospective Studies Radiosurgery Male Female Middle Aged Carcinoma, Squamous Cell Lung Neoplasms Aged
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Deep Learning Based on Standard H&E Images of Primary Melanoma Tumors Identifies Patients at Risk for Visceral Recurrence and Death.

Clinical cancer research : an official journal of the American Association for Cancer Research Oct 21, 2019
PURPOSE: Biomarkers for disease-specific survival (DSS) in early-stage melanoma are needed to select patients for adjuvant immunotherapy and accelerate clinical trial design. We present a pathology-based computational method using a deep neural netwo...
Follow-Up Studies Area Under Curve Biopsy Neoplasm Recurrence, Local Middle Aged Disease Progression Deep Learning Image Processing, Computer-Assisted Staining and Labeling Retrospective Studies Aged, 80 and over Humans Female Young Adult Neural Networks, Computer Melanoma Adult Algorithms Risk Factors Survival Rate Aged Male
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Precision screening for familial hypercholesterolaemia: a machine learning study applied to electronic health encounter data.

The Lancet. Digital health Oct 21, 2019
BACKGROUND: Cardiovascular outcomes for people with familial hypercholesterolaemia can be improved with diagnosis and medical management. However, 90% of individuals with familial hypercholesterolaemia remain undiagnosed in the USA. We aimed to accel...
Mass Screening Hyperlipoproteinemia Type II Telemedicine Aged Early Diagnosis Humans Aged, 80 and over Machine Learning Adult Precision Medicine Male Female Middle Aged
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The FluPRINT dataset, a multidimensional analysis of the influenza vaccine imprint on the immune system.

Scientific data Oct 21, 2019
Machine learning has the potential to identify novel biological factors underlying successful antibody responses to influenza vaccines. The first attempts have revealed a high level of complexity in establishing influenza immunity, and many different...
Humans Machine Learning Cytokines Male Middle Aged Infant Adolescent Child, Preschool Female Aged Aged, 80 and over Young Adult Adult Antibody Formation Hemagglutination Inhibition Tests Child Immunophenotyping Influenza Vaccines Immunogenicity, Vaccine Immune System
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