AIMC Topic:
Databases, Factual

Clear Filters Showing 1441 to 1450 of 2938 articles

Data science and machine learning in anesthesiology.

Korean journal of anesthesiology Mar 25, 2020
Machine learning (ML) is revolutionizing anesthesiology research. Unlike classical research methods that are largely inference-based, ML is geared more towards making accurate predictions. ML is a field of artificial intelligence concerned with devel...
Data Science Blood Glucose Diabetes Mellitus Data Interpretation, Statistical Anesthesiology Machine Learning Databases, Factual Electronic Health Records Humans
View on PubMed DOI

Automatic discovery of resource-restricted Convolutional Neural Network topologies for myoelectric pattern recognition.

Computers in biology and medicine Mar 25, 2020
Convolutional Neural Networks (CNNs) have been subject to extensive attention in the pattern recognition literature due to unprecedented performance in tasks of information extraction from unstructured data. Whereas available methods for supervised t...
Databases, Factual Neural Networks, Computer Electromyography Algorithms Movement
View on PubMed DOI

Deep learning based searching approach for RDF graphs.

PloS one Mar 23, 2020
The Internet is a remarkably complex technical system. Its rapid growth has also brought technical issues such as problems to information retrieval. Search engines retrieve requested information based on the provided keywords. Consequently, it is dif...
Data Mining Software Databases, Factual Deep Learning
View on PubMed DOI

Predicting Optimal Hypertension Treatment Pathways Using Recurrent Neural Networks.

International journal of medical informatics Mar 21, 2020
BACKGROUND: In ambulatory care settings, physicians largely rely on clinical guidelines and guideline-based clinical decision support (CDS) systems to make decisions on hypertension treatment. However, current clinical evidence, which is the knowledg...
Humans Neural Networks, Computer Databases, Factual Feasibility Studies Practice Guidelines as Topic Patient Care Planning Monitoring, Physiologic Blood Pressure Electronic Health Records Antihypertensive Agents Hypertension Blood Pressure Determination
View on PubMed DOI

Backpropagation algorithms and Reservoir Computing in Recurrent Neural Networks for the forecasting of complex spatiotemporal dynamics.

Neural networks : the official journal of the International Neural Network Society Mar 21, 2020
We examine the efficiency of Recurrent Neural Networks in forecasting the spatiotemporal dynamics of high dimensional and reduced order complex systems using Reservoir Computing (RC) and Backpropagation through time (BPTT) for gated network architect...
Databases, Factual Machine Learning Humans Time Factors Neural Networks, Computer Algorithms Forecasting
View on PubMed DOI

Learning visual features under motion invariance.

Neural networks : the official journal of the International Neural Network Society Mar 20, 2020
Humans are continuously exposed to a stream of visual data with a natural temporal structure. However, most successful computer vision algorithms work at image level, completely discarding the precious information carried by motion. In this paper, we...
Motion Humans Vision, Ocular Motion Perception Algorithms Neural Networks, Computer Photic Stimulation Machine Learning Databases, Factual Animals
View on PubMed DOI

Low-contrast X-ray enhancement using a fuzzy gamma reasoning model.

Medical & biological engineering & computing Mar 20, 2020
X-ray images play an important role in providing physicians with satisfactory information correlated to fractures and diseases; unfortunately, most of these images suffer from low contrast and poor quality. Thus, enhancement of the image will increas...
Child Fuzzy Logic Radiography Infant Adolescent Child, Preschool X-Rays Spine Hand Image Enhancement Humans Databases, Factual Female Infant, Newborn Male
View on PubMed DOI

Computational Models Using Multiple Machine Learning Algorithms for Predicting Drug Hepatotoxicity with the DILIrank Dataset.

International journal of molecular sciences Mar 19, 2020
Drug-induced liver injury (DILI) remains one of the challenges in the safety profile of both authorized and candidate drugs, and predicting hepatotoxicity from the chemical structure of a substance remains a task worth pursuing. Such an approach is c...
Humans Drug-Related Side Effects and Adverse Reactions Quantitative Structure-Activity Relationship Chemical and Drug Induced Liver Injury Computer Simulation Machine Learning Prognosis Algorithms Models, Theoretical Databases, Factual
View on PubMed DOI

Prediction of admission in pediatric emergency department with deep neural networks and triage textual data.

Neural networks : the official journal of the International Neural Network Society Mar 18, 2020
Emergency department (ED) overcrowding is a global condition that severely worsens attention to patients, increases clinical risks and affects hospital cost management. A correct and early prediction of ED's admission is of high value and a motivatio...
Male Infant Deep Learning Databases, Factual Humans Triage Female Neural Networks, Computer Emergency Service, Hospital Cohort Studies Hospitalization Pediatrics Forecasting Child, Preschool Patient Admission Child
View on PubMed DOI

Toward a unified framework for interpreting machine-learning models in neuroimaging.

Nature protocols Mar 18, 2020
Machine learning is a powerful tool for creating computational models relating brain function to behavior, and its use is becoming widespread in neuroscience. However, these models are complex and often hard to interpret, making it difficult to evalu...
Neuroimaging Male Adolescent Databases, Factual Image Interpretation, Computer-Assisted Humans Brain Female Machine Learning Young Adult Adult
View on PubMed DOI
Popular Topics
Recent Journals