AIMC Topic: Machine Learning

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Using Weighted Extreme Learning Machine Combined With Scale-Invariant Feature Transform to Predict Protein-Protein Interactions From Protein Evolutionary Information.

IEEE/ACM transactions on computational biology and bioinformatics Jan 10, 2020
Protein-Protein Interactions (PPIs) play an irreplaceable role in biological activities of organisms. Although many high-throughput methods are used to identify PPIs from different kinds of organisms, they have some shortcomings, such as high cost an...
Humans Databases, Protein Helicobacter pylori Amino Acid Sequence Computational Biology Sequence Analysis, Protein Evolution, Molecular Protein Interaction Mapping Proteins Saccharomyces cerevisiae Proteins Machine Learning Animals Protein Interaction Maps
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Cloud-computing and machine learning in support of country-level land cover and ecosystem extent mapping in Liberia and Gabon.

PloS one Jan 10, 2020
Liberia and Gabon joined the Gaborone Declaration for Sustainability in Africa (GDSA), established in 2012, with the goal of incorporating the value of nature into national decision making by estimating the multiple services obtained from ecosystems ...
Liberia Cloud Computing Maps as Topic Gabon Machine Learning Ecosystem Datasets as Topic
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Using machine learning methods to determine a typology of patients with HIV-HCV infection to be treated with antivirals.

PloS one Jan 10, 2020
Several European countries have established criteria for prioritising initiation of treatment in patients infected with the hepatitis C virus (HCV) by grouping patients according to clinical characteristics. Based on neural network techniques, our ob...
HIV Hepacivirus Hepatitis C Antiviral Agents Follow-Up Studies Coinfection Male Middle Aged Adolescent Humans Neural Networks, Computer Female Aged Young Adult Adult Machine Learning Decision Support Techniques Prospective Studies AIDS-Related Opportunistic Infections Spain
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The Design of Memristive Circuit for Affective Multi-Associative Learning.

IEEE transactions on biomedical circuits and systems Jan 9, 2020
In this work, a memristive circuit with affective multi-associative learning function is proposed, which mimics the process of human affective formation. It mainly contains three modules: affective associative learning, affective formation, affective...
Robotics Equipment Design Neurons Electrical Equipment and Supplies Biomimetics Synapses Humans Machine Learning Models, Neurological
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The damage response framework and infection prevention: From concept to bedside.

Infection control and hospital epidemiology Jan 9, 2020
Hospital-acquired infections remain a common cause of morbidity and mortality despite advances in infection prevention through use of bundles, environmental cleaning, antimicrobial stewardship, and other best practices. Current prevention strategies ...
Humans Machine Learning Female Infection Control Models, Biological Microbiota Cross Infection Male Risk Assessment Decision Support Systems, Clinical
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Classification and Prognosis Prediction from Histopathological Images of Hepatocellular Carcinoma by a Fully Automated Pipeline Based on Machine Learning.

Annals of surgical oncology Jan 8, 2020
OBJECTIVE: The aim of this study was to develop quantitative feature-based models from histopathological images to distinguish hepatocellular carcinoma (HCC) from adjacent normal tissue and predict the prognosis of HCC patients after surgical resecti...
Prognosis Liver Neoplasms Carcinoma, Hepatocellular Humans Machine Learning
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Retraining an open-source pneumothorax detecting machine learning algorithm for improved performance to medical images.

Clinical imaging Jan 8, 2020
PURPOSE: To validate a machine learning model trained on an open source dataset and subsequently optimize it to chest X-rays with large pneumothoraces from our institution.
Area Under Curve Radiography Pneumothorax Retrospective Studies Sensitivity and Specificity Male Deep Learning Humans Machine Learning Algorithms
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Adaptive sparse learning using multi-template for neurodegenerative disease diagnosis.

Medical image analysis Jan 8, 2020
Neurodegenerative diseases are excessively affecting millions of patients, especially elderly people. Early detection and management of these diseases are crucial as the clinical symptoms take years to appear after the onset of neuro-degeneration. Th...
Datasets as Topic Early Diagnosis Neuroimaging Neurodegenerative Diseases Alzheimer Disease Image Interpretation, Computer-Assisted Humans Machine Learning Parkinson Disease
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Neuronal population correlates of target selection and distractor filtering.

NeuroImage Jan 8, 2020
Frontal Eye Field (FEF) neurons discriminate between relevant and irrelevant visual stimuli and their response magnitude predicts conscious perception. How this is reflected in the spatial representation of a visual stimulus at the neuronal populatio...
Visual Perception Space Perception Macaca mulatta Electroencephalography Neurons Attention Animals Male Prefrontal Cortex Machine Learning
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An effective approach for CT lung segmentation using mask region-based convolutional neural networks.

Artificial intelligence in medicine Jan 8, 2020
Computer vision systems have numerous tools to assist in various medical fields, notably in image diagnosis. Computed tomography (CT) is the principal imaging method used to assist in the diagnosis of diseases such as bone fractures, lung cancer, hea...
Lung Neoplasms Support Vector Machine Bayes Theorem Tomography, X-Ray Computed Lung Image Processing, Computer-Assisted Humans Neural Networks, Computer Machine Learning
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