Error: No operations allowed after statement closed.
SQL: SELECT COUNT(DISTINCT a.article_id) AS total FROM article_keywords ak JOIN keywords k ON ak.keyword_id = k.keyword_id JOIN articles a ON a.article_id = ak.article_id WHERE 0 = 0 AND k.keyword_url = 'databases-factual'
Detail:
Where Clause: WHERE 1=1
Databases, Factual - AI Medical Compendium

AIMC Topic: Databases, Factual

Clear Filters Showing 1021 to 0 of 0 articles

Cardiac Magnetic Resonance Images Superresolution via Multichannel Residual Attention Networks.

Computational and mathematical methods in medicine Aug 12, 2021
The deep neural network has achieved good results in medical image superresolution. However, due to the medical equipment limitations and the complexity of the human body structure, it is difficult to reconstruct clear cardiac magnetic resonance (CMR...
Magnetic Resonance Imaging Heart Image Interpretation, Computer-Assisted Databases, Factual Deep Learning Computational Biology Humans Neural Networks, Computer Algorithms
View on PubMed DOI

A Machine Learning Approach in Predicting Mortality Following Emergency General Surgery.

The American surgeon Aug 11, 2021
BACKGROUND: There is a significant mortality burden associated with emergency general surgery (EGS) procedures. The objective of this study was to develop and validate the use of a machine learning approach to predict mortality following EGS.
Databases, Factual Female Adult Male Humans Machine Learning Surgical Procedures, Operative United States Predictive Value of Tests General Surgery Middle Aged Emergencies Adolescent
View on PubMed DOI

DeepFoveaNet: Deep Fovea Eagle-Eye Bioinspired Model to Detect Moving Objects.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Aug 10, 2021
Birds of prey especially eagles and hawks have a visual acuity two to five times better than humans. Among the peculiar characteristics of their biological vision are that they have two types of foveae; one shallow fovea used in their binocular visio...
Humans Neural Networks, Computer Algorithms Databases, Factual Animals Image Processing, Computer-Assisted Vision, Binocular Fovea Centralis Eagles Models, Biological Video Recording Movement
View on PubMed DOI

Machine learning versus regression modelling in predicting individual healthcare costs from a representative sample of the nationwide claims database in France.

The European journal of health economics : HEPAC : health economics in prevention and care Aug 9, 2021
BACKGROUND: Innovative provider payment methods that avoid adverse selection and reward performance require accurate prediction of healthcare costs based on individual risk adjustment. Our objective was to compare the performances of a simple neural ...
Health Care Costs Humans Databases, Factual Machine Learning Health Services Linear Models
View on PubMed DOI

Machine Learning Approach for Active Vaccine Safety Monitoring.

Journal of Korean medical science Aug 9, 2021
BACKGROUND: Vaccine safety surveillance is important because it is related to vaccine hesitancy, which affects vaccination rate. To increase confidence in vaccination, the active monitoring of vaccine adverse events is important. For effective active...
Adverse Drug Reaction Reporting Systems Product Surveillance, Postmarketing Anaphylaxis Vaccination Vaccines Drug-Related Side Effects and Adverse Reactions Agranulocytosis Humans Machine Learning Databases, Factual Republic of Korea
View on PubMed DOI

Toward a systematic conflict resolution framework for ontologies.

Journal of biomedical semantics Aug 9, 2021
BACKGROUND: The ontology authoring step in ontology development involves having to make choices about what subject domain knowledge to include. This may concern sorting out ontological differences and making choices between conflicting axioms due to ...
Databases, Factual SARS-CoV-2 Computational Biology Humans COVID-19 Logic Epidemics Vocabulary, Controlled Semantic Web Information Storage and Retrieval Semantics Biological Ontologies
View on PubMed DOI

SERR-U-Net: Squeeze-and-Excitation Residual and Recurrent Block-Based U-Net for Automatic Vessel Segmentation in Retinal Image.

Computational and mathematical methods in medicine Aug 9, 2021
METHODS: A new SERR-U-Net framework for retinal vessel segmentation is proposed, which leverages technologies including Squeeze-and-Excitation (SE), residual module, and recurrent block. First, the convolution layers of encoder and decoder are modifi...
Image Interpretation, Computer-Assisted Retinal Vessels Retinoscopy Databases, Factual Deep Learning Computational Biology Humans Neural Networks, Computer Algorithms
View on PubMed DOI

Quantum neuron with real weights.

Neural networks : the official journal of the International Neural Network Society Aug 8, 2021
This paper proposes a new model of a real weights quantum neuron exploiting the so-called quantum parallelism which allows for an exponential speedup of computations. The quantum neurons were trained in a classical-quantum approach, considering the d...
Databases, Factual Neurons Neural Networks, Computer Algorithms
View on PubMed DOI

Deep Bidirectional Classification Model for COVID-19 Disease Infected Patients.

IEEE/ACM transactions on computational biology and bioinformatics Aug 6, 2021
In December of 2019, a novel coronavirus (COVID-19) appeared in Wuhan city, China and has been reported in many countries with millions of people infected within only four months. Chest computed Tomography (CT) has proven to be a useful supplement to...
COVID-19 Testing Deep Learning China Computational Biology Humans Pandemics COVID-19 Tomography, X-Ray Computed SARS-CoV-2 Algorithms Databases, Factual
View on PubMed DOI

A Novel Method for Differential Prognosis of Brain Degenerative Diseases Using Radiomics-Based Textural Analysis and Ensemble Learning Classifiers.

Computational and mathematical methods in medicine Aug 5, 2021
We propose a novel approach to develop a computer-aided decision support system for radiologists to help them classify brain degeneration process as physiological or pathological, aiding in early prognosis of brain degenerative diseases. Our approach...
Image Interpretation, Computer-Assisted Brain Diseases Neuroimaging Computational Biology Magnetic Resonance Imaging Neurodegenerative Diseases Decision Support Techniques Databases, Factual Prognosis Humans Machine Learning Algorithms
View on PubMed DOI
Popular Topics
Recent Journals