AIMC Topic: Databases, Factual

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Machine Learning Models for Prediction of Reinjury After Penetrating Trauma.

JAMA surgery Feb 1, 2018
This study compares several machine learning models for prediction of reinjury after penetrating trauma.
Recurrence Wounds, Penetrating Mental Disorders Databases, Factual Suicide Humans Patient Readmission Machine Learning Self-Injurious Behavior Forecasting United States Models, Theoretical
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Machine learning to detect signatures of disease in liquid biopsies - a user's guide.

Lab on a chip Jan 30, 2018
New technologies that measure sparse molecular biomarkers from easily accessible bodily fluids (e.g. blood, urine, and saliva) are revolutionizing disease diagnostics and precision medicine. Microchip devices can measure more disease biomarkers with ...
Diagnosis, Computer-Assisted Molecular Diagnostic Techniques Cluster Analysis Liquid Biopsy Algorithms Databases, Factual Biomarkers Humans Machine Learning
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Disease Staging and Prognosis in Smokers Using Deep Learning in Chest Computed Tomography.

American journal of respiratory and critical care medicine Jan 15, 2018
RATIONALE: Deep learning is a powerful tool that may allow for improved outcome prediction.
Aged Survival Rate Pulmonary Disease, Chronic Obstructive Prognosis Tomography, X-Ray Computed Female Severity of Illness Index Deep Learning Logistic Models Respiratory Distress Syndrome Male Middle Aged Risk Assessment Humans Databases, Factual Predictive Value of Tests Smoking Respiratory Function Tests
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Harnessing Ontologies to Improve Prescription in Pediatric Medicine.

Studies in health technology and informatics Jan 1, 2018
There are many drug databases, but sometimes the data quality may result in wrong medication for patients. Results that it is very important to provide a good quality drug information, supply structured information and build useful relations between ...
Pediatrics Humans Biological Ontologies Databases, Factual Prescriptions Child
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Comparison of medical image classification accuracy among three machine learning methods.

Journal of X-ray science and technology Jan 1, 2018
BACKGROUND: Low-quality medical images may influence the accuracy of the machine learning process.
Support Vector Machine Diagnostic Imaging Humans Neural Networks, Computer Machine Learning Databases, Factual Deep Learning Image Processing, Computer-Assisted
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Big-Data Analysis, Cluster Analysis, and Machine-Learning Approaches.

Advances in experimental medicine and biology Jan 1, 2018
Medicine will experience many changes in the coming years because the so-called "medicine of the future" will be increasingly proactive, featuring four basic elements: predictive, personalized, preventive, and participatory. Drivers for these changes...
Machine Learning Databases, Factual Prognosis Humans Big Data Cardiology Cluster Analysis Data Mining Heart Failure Terminology as Topic
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Breast cancer tumor type recognition using graph feature selection technique and radial basis function neural network with optimal structure.

Journal of cancer research and therapeutics Jan 1, 2018
CONTEXT: Breast cancer is a major cause of mortality in young women in the developing countries. Early diagnosis is the key to improve survival rate in cancer patients.
Neural Networks, Computer Algorithms Databases, Factual Humans Breast Neoplasms Computer Simulation Diagnosis, Computer-Assisted Prognosis Models, Statistical Female Pattern Recognition, Automated
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SPRENO: a BioC module for identifying organism terms in figure captions.

Database : the journal of biological databases and curation Jan 1, 2018
Recent advances in biological research reveal that the majority of the experiments strive for comprehensive exploration of the biological system rather than targeting specific biological entities. The qualitative and quantitative findings of the inve...
Genes, Viral Sindbis Virus Classification Drosophila melanogaster Genes, Insect Neural Networks, Computer Databases, Factual Animals Data Mining
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Multi-task fused sparse learning for mild cognitive impairment identification.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2018
BACKGROUND: Brain functional connectivity network (BFCN) has been widely applied to identify biomarkers for the brain function understanding and brain diseases analysis.
Humans Algorithms Databases, Factual Biomarkers Image Processing, Computer-Assisted Brain Disease Progression Support Vector Machine Cognitive Dysfunction Magnetic Resonance Imaging
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Expert curation for building network-based dynamical models: a case study on atherosclerotic plaque formation.

Database : the journal of biological databases and curation Jan 1, 2018
http://biomodels.caltech.edu.
Humans Models, Cardiovascular Databases, Factual Atherosclerosis Plaque, Atherosclerotic Biological Ontologies Data Curation Electronic Data Processing
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