AIMC Topic: Humans

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Machine-learned models using hematological inflammation markers in the prediction of short-term acute coronary syndrome outcomes.

Journal of translational medicine Dec 3, 2018
BACKGROUND: Increased systemic and local inflammation play a vital role in the pathophysiology of acute coronary syndrome. This study aimed to assess the usefulness of selected machine learning methods and hematological markers of inflammation in pre...
Hospital Mortality ROC Curve Logistic Models Reproducibility of Results Aged Time Factors Acute Coronary Syndrome Inflammation Models, Theoretical Treatment Outcome Machine Learning Biomarkers Humans
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Performance of convolutional neural networks for identification of bacteria in 3D microscopy datasets.

PLoS computational biology Dec 3, 2018
Three-dimensional microscopy is increasingly prevalent in biology due to the development of techniques such as multiphoton, spinning disk confocal, and light sheet fluorescence microscopies. These methods enable unprecedented studies of life at the m...
(2)
Support Vector Machine Microscopy, Fluorescence Zebrafish Bacteria Computational Biology Intestines Vibrio Pseudomonas Humans Neural Networks, Computer Algorithms Databases, Factual Animals Imaging, Three-Dimensional
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Robot-assisted gait training effectively improved lateropulsion in subacute stroke patients: a single-blinded randomized controlled trial.

European journal of physical and rehabilitation medicine Dec 3, 2018
BACKGROUND: Some stroke patients are known to use nonparetic extremities to push toward the paretic side, a movement known as lateropulsion. Lateropulsion impairs postural balance and interferes with rehabilitation.
Female Aged Male Middle Aged Humans Gait Motor Activity Physical Therapy Modalities Stroke Rehabilitation Treatment Outcome Postural Balance Recovery of Function Single-Blind Method Robotics Stroke
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The Design and Implementation of Cardiotocography Signals Classification Algorithm Based on Neural Network.

Computational and mathematical methods in medicine Dec 3, 2018
Mobile medical care is a hot issue in current medical research. Due to the inconvenience of going to hospital for fetal heart monitoring and the limited medical resources, real-time monitoring of fetal health on portable devices has become an urgent ...
(1)
Signal Processing, Computer-Assisted Heart Rate, Fetal Calibration Pregnancy Female Humans Support Vector Machine Neural Networks, Computer Cardiotocography Algorithms
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Prediction of drug-target interaction by integrating diverse heterogeneous information source with multiple kernel learning and clustering methods.

Computational biology and chemistry Dec 2, 2018
BACKGROUND: Identification of potential drug-target interaction pairs is very important for pharmaceutical innovation and drug discovery. Numerous machine learning-based and network-based algorithms have been developed for predicting drug-target inte...
Computational Biology Cluster Analysis Molecular Targeted Therapy Algorithms Neoplasms Protein Binding Humans Machine Learning
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Novel neural network application for bacterial colony classification.

Theoretical biology & medical modelling Dec 2, 2018
BACKGROUND: Bacterial colony morphology is the first step of classifying the bacterial species before sending them to subsequent identification process with devices, such as VITEK 2 automated system and mass spectrometry microbial identification syst...
Humans Neural Networks, Computer Colony Count, Microbial
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Geoffrey: An Automated Schedule System on a Social Robot for the Intellectually Challenged.

Computational intelligence and neuroscience Dec 2, 2018
The accelerated growth of the percentage of elder people and persons with brain injury-related conditions and who are intellectually challenged are some of the main concerns of the developed countries. These persons often require special cares and ev...
Brain Injuries Robotics Intelligence Aging Quality of Life Humans Cognitive Dysfunction Brain
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A Novel Artificial Organic Control System for Mobile Robot Navigation in Assisted Living Using Vision- and Neural-Based Strategies.

Computational intelligence and neuroscience Dec 2, 2018
Robots in assisted living (RAL) are an alternative to support families and professional caregivers with a wide range of possibilities to take care of elderly people. Navigation of mobile robots is a challenging problem due to the uncertainty and dyna...
Computer Simulation Aged Robotics Motion Vision, Ocular Humans Neural Networks, Computer Algorithms
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Compatible stability of methylprednisolone sodium succinate and tropisetron in 0.9% sodium chloride injection.

European journal of hospital pharmacy : science and practice Dec 1, 2018
BACKGROUND: A combination of methylprednisolone sodium succinate and tropisetron hydrochloride is commonly used to treat the nausea and vomiting associated with antineoplastic therapy. The objective of this study was to investigate the stability of t...
Tropisetron Drug Incompatibility Injections Humans Drug Stability Anti-Inflammatory Agents Methylprednisolone Hemisuccinate Antiemetics Chromatography, High Pressure Liquid Saline Solution
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Prevalence and predictors of C. difficile infections in hospitalized patients with major surgical procedures in the USA: Analysis using traditional and machine learning methods.

American journal of surgery Dec 1, 2018
Prevalence Humans United States Machine Learning Cross Infection Clostridium Infections Adult Clostridioides difficile Retrospective Studies Male Female Middle Aged Aged
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