AIMC Topic: Humans

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Defining and Predicting Pain Volatility in Users of the Manage My Pain App: Analysis Using Data Mining and Machine Learning Methods.

Journal of medical Internet research Nov 15, 2018
BACKGROUND: Measuring and predicting pain volatility (fluctuation or variability in pain scores over time) can help improve pain management. Perceptions of pain and its consequent disabling effects are often heightened under the conditions of greater...
Disease Management Chronic Pain Volatilization Machine Learning Mobile Applications Data Mining Humans
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Machine learning algorithms for activity recognition in ambulant children and adolescents with cerebral palsy.

Journal of neuroengineering and rehabilitation Nov 15, 2018
BACKGROUND: Cerebral palsy (CP) is the most common physical disability among children (2.5 to 3.6 cases per 1000 live births). Inadequate physical activity (PA) is a major problem effecting the health and well-being of children with CP. Practical, ye...
Humans Machine Learning Exercise Adolescent Child Algorithms Female Male Cerebral Palsy Accelerometry
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Soft Computing for Analysis of Biomedical Data.

Computational and mathematical methods in medicine Nov 15, 2018
Magnetic Resonance Imaging Data Interpretation, Statistical Electroencephalography Machine Learning Gene Regulatory Networks Computational Biology Data Mining Humans
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Image Processing-Based Recognition of Wall Defects Using Machine Learning Approaches and Steerable Filters.

Computational intelligence and neuroscience Nov 15, 2018
Detection of defects including cracks and spalls on wall surface in high-rise buildings is a crucial task of buildings' maintenance. If left undetected and untreated, these defects can significantly affect the structural integrity and the aesthetic a...
Pattern Recognition, Automated Least-Squares Analysis Algorithms Image Interpretation, Computer-Assisted Image Processing, Computer-Assisted Humans Support Vector Machine Machine Learning
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Synthesizing Chest X-Ray Pathology for Training Deep Convolutional Neural Networks.

IEEE transactions on medical imaging Nov 14, 2018
Medical datasets are often highly imbalanced with over-representation of prevalent conditions and poor representation of rare medical conditions. Due to privacy concerns, it is challenging to aggregate large datasets between health care institutions....
Respiratory Tract Diseases Adult Image Interpretation, Computer-Assisted Radiography, Thoracic Humans Neural Networks, Computer Databases, Factual
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Deep learning algorithms to identify documentation of serious illness conversations during intensive care unit admissions.

Palliative medicine Nov 14, 2018
Adult Male Middle Aged Health Personnel Intensive Care Units Female Guidelines as Topic Boston Admitting Department, Hospital Deep Learning Critical Care Documentation Humans Algorithms
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High waist-to-hip ratio levels are associated with insulin resistance markers in normal-weight women.

Diabetes & metabolic syndrome Nov 14, 2018
AIM: To assess the association between high waist-to-hip ratio (WHR) levels and insulin resistance (IR) or hyperinsulinemia after oral glucose tolerance test (OGTT) in a sample of normal-weight women.
Poisson Distribution Adult Linear Models Cross-Sectional Studies Humans Regression Analysis Insulin Resistance Waist-Hip Ratio Female Glucose Tolerance Test
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Highly Compact Artificial Memristive Neuron with Low Energy Consumption.

Small (Weinheim an der Bergstrasse, Germany) Nov 14, 2018
Neuromorphic systems aim to implement large-scale artificial neural network on hardware to ultimately realize human-level intelligence. The recent development of nonsilicon nanodevices has opened the huge potential of full memristive neural networks ...
Humans Neural Networks, Computer Animals
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An Interpretable and Expandable Deep Learning Diagnostic System for Multiple Ocular Diseases: Qualitative Study.

Journal of medical Internet research Nov 14, 2018
BACKGROUND: Although artificial intelligence performs promisingly in medicine, few automatic disease diagnosis platforms can clearly explain why a specific medical decision is made.
Eye Diseases Humans Deep Learning Qualitative Research
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Optimal intensive care outcome prediction over time using machine learning.

PloS one Nov 14, 2018
BACKGROUND: Prognostication is an essential tool for risk adjustment and decision making in the intensive care unit (ICU). Research into prognostication in ICU has so far been limited to data from admission or the first 24 hours. Most ICU admissions ...
Prognosis Retrospective Studies Intensive Care Units Patient Admission Decision Support Systems, Clinical Clinical Decision-Making Logistic Models Humans Female Feasibility Studies Machine Learning Aged Critical Care Sepsis Male Datasets as Topic Hospital Mortality Middle Aged APACHE ROC Curve Risk Assessment
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