AIMC Topic: Databases, Factual

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Percutaneous kyphoplasty versus posterior spinal fixation with vertebroplasty for treatment of Kümmell disease: A case-control study with minimal 2-year follow-up.

Medicine Dec 1, 2017
This is a retrospective case-control study.The aim of this study was to compare the surgical results of percutaneous kyphoplasty (KP) and posterior spinal fixation with vertebroplasty (PSF+VP) for treatment of Kümmell disease (KD).KD is rare form of ...
Postoperative Complications Chi-Square Distribution Severity of Illness Index Vertebroplasty Follow-Up Studies Female Case-Control Studies Humans Kyphoplasty Blood Loss, Surgical Aged Time Factors Spinal Diseases Databases, Factual Operative Time Adult Treatment Outcome Retrospective Studies Pain Measurement Male Tomography, X-Ray Computed Middle Aged Osteonecrosis
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NT-proBNP test with improved accuracy for the diagnosis of chronic heart failure.

Medicine Dec 1, 2017
The circulating concentration of N-terminal pro-brain natriuretic peptide (NT-proBNP) has been shown to be a diagnostic tool for the detection of heart failure. Several factors influence NT-proBNP levels including age, sex, and body mass index (BMI)....
Natriuretic Peptide, Brain Echocardiography, Doppler Area Under Curve Peptide Fragments Heart Failure Sex Factors Diagnostic Tests, Routine Databases, Factual Biomarkers Retrospective Studies Female Severity of Illness Index Aged China Aged, 80 and over ROC Curve Sensitivity and Specificity Age Factors Humans Male Chronic Disease Middle Aged Risk Assessment
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Editor's Highlight: Identification of Any Structure-Specific Hepatotoxic Potential of Different Pyrrolizidine Alkaloids Using Random Forests and Artificial Neural Networks.

Toxicological sciences : an official journal of the Society of Toxicology Dec 1, 2017
Pyrrolizidine alkaloids (PAs) are characteristic metabolites of some plant families and form a powerful defense mechanism against herbivores. More than 600 different PAs are known. PAs are ester alkaloids composed of a necine base and a necic acid, w...
Humans Neural Networks, Computer Machine Learning Algorithms Databases, Factual Dicarboxylic Acids Chemical and Drug Induced Liver Injury Cyclic N-Oxides Heterocyclic Compounds, 2-Ring Pyrrolizidine Alkaloids Reproducibility of Results Risk Assessment Liver Molecular Structure Quantitative Structure-Activity Relationship
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Neural networks as a tool to predict syncope risk in the Emergency Department.

Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology Nov 1, 2017
AIMS: There is no universally accepted tool for the risk stratification of syncope patients in the Emergency Department. The aim of this study was to investigate the short-term predictive accuracy of an artificial neural network (ANN) in stratifying ...
Area Under Curve Emergency Service, Hospital Italy Syncope Cardiology Service, Hospital Aged, 80 and over Adult Male Middle Aged Risk Assessment Time Factors Humans Clinical Decision-Making ROC Curve Neural Networks, Computer Female Electrocardiography Decision Support Techniques Reproducibility of Results Predictive Value of Tests Databases, Factual Risk Factors Triage Prognosis Aged
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Active learning for bird sound classification via a kernel-based extreme learning machine.

The Journal of the Acoustical Society of America Oct 1, 2017
In recent years, research fields, including ecology, bioacoustics, signal processing, and machine learning, have made bird sound recognition a part of their focus. This has led to significant advancements within the field of ornithology, such as impr...
Supervised Machine Learning Acoustics Pattern Recognition, Automated Vocalization, Animal Databases, Factual Animals Birds Support Vector Machine Signal Processing, Computer-Assisted
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OLS Client and OLS Dialog: Open Source Tools to Annotate Public Omics Datasets.

Proteomics Oct 1, 2017
The availability of user-friendly software to annotate biological datasets and experimental details is becoming essential in data management practices, both in local storage systems and in public databases. The Ontology Lookup Service (OLS, http://ww...
Software Databases, Factual User-Computer Interface Genomics Computational Biology Proteomics Metabolomics Information Storage and Retrieval Biological Ontologies Humans
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Artificial neural network for prediction of in-hospital mortality after open repair of ruptured abdominal aortic aneurysm.

The Journal of cardiovascular surgery Oct 1, 2017
Reproducibility of Results Risk Factors Aged Aged, 80 and over Male Neural Networks, Computer Decision Support Techniques Databases, Factual Retrospective Studies Female Health Status Predictive Value of Tests Aortic Aneurysm, Abdominal Vascular Surgical Procedures Aortic Rupture Middle Aged Risk Assessment Time Factors Hospital Mortality Treatment Outcome Humans
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Predicting Refractive Surgery Outcome: Machine Learning Approach With Big Data.

Journal of refractive surgery (Thorofare, N.J. : 1995) Sep 1, 2017
PURPOSE: To develop a decision forest for prediction of laser refractive surgery outcome.
Adult Male Refraction, Ocular Myopia Treatment Outcome Humans Follow-Up Studies Machine Learning Corneal Topography Databases, Factual Photorefractive Keratectomy Clinical Decision-Making Lasers, Excimer Female Corneal Stroma
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DextMP: deep dive into text for predicting moonlighting proteins.

Bioinformatics (Oxford, England) Jul 15, 2017
MOTIVATION: Moonlighting proteins (MPs) are an important class of proteins that perform more than one independent cellular function. MPs are gaining more attention in recent years as they are found to play important roles in various systems including...
Humans Software Databases, Factual Animals Proteomics Unsupervised Machine Learning Models, Biological Data Mining Saccharomyces cerevisiae Molecular Sequence Annotation Xenopus laevis
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Comparing deep neural network and other machine learning algorithms for stroke prediction in a large-scale population-based electronic medical claims database.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2017
Electronic medical claims (EMCs) can be used to accurately predict the occurrence of a variety of diseases, which can contribute to precise medical interventions. While there is a growing interest in the application of machine learning (ML) technique...
Algorithms Databases, Factual Support Vector Machine Stroke Humans Neural Networks, Computer Machine Learning
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