AIMC Topic: Models, Theoretical

Clear Filters Showing 921 to 930 of 1953 articles

Machine learning techniques for personalized breast cancer risk prediction: comparison with the BCRAT and BOADICEA models.

Breast cancer research : BCR Jun 20, 2019
BACKGROUND: Comprehensive breast cancer risk prediction models enable identifying and targeting women at high-risk, while reducing interventions in those at low-risk. Breast cancer risk prediction models used in clinical practice have low discriminat...
Population Surveillance Disease Susceptibility Middle Aged Risk Assessment Big Data ROC Curve Genetic Predisposition to Disease Models, Theoretical Female Adult Breast Neoplasms Algorithms Precision Medicine Prognosis Humans Machine Learning
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MetaNN: accurate classification of host phenotypes from metagenomic data using neural networks.

BMC bioinformatics Jun 20, 2019
BACKGROUND: Microbiome profiles in the human body and environment niches have become publicly available due to recent advances in high-throughput sequencing technologies. Indeed, recent studies have already identified different microbiome profiles in...
Humans Neural Networks, Computer ROC Curve Metagenomics Models, Theoretical Databases, Genetic Machine Learning Support Vector Machine Area Under Curve Algorithms Microbiota Phenotype
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On the improvement of reinforcement active learning with the involvement of cross entropy to address one-shot learning problem.

PloS one Jun 19, 2019
As a promising research direction in recent decades, active learning allows an oracle to assign labels to typical examples for performance improvement in learning systems. Existing works mainly focus on designing criteria for screening examples of hi...
Machine Learning Models, Theoretical Entropy
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Automatic segmentation of hyperreflective foci in OCT images.

Computer methods and programs in biomedicine Jun 17, 2019
BACKGROUND AND OBJECTIVE: The leading cause of vision loss in the Western World is Age-related Macular Degeneration (AMD), but together with modern medicines, tracking the number of Hyperreflective Foci (HF) on Optical Coherence Tomography (OCT) imag...
Tomography, Optical Coherence Vascular Endothelial Growth Factor A Macular Degeneration Computer Graphics Probability Automation Image Processing, Computer-Assisted Models, Theoretical Area Under Curve Retrospective Studies Neural Networks, Computer Deep Learning Software Decision Support Systems, Clinical Humans Algorithms Biomarkers
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Outcome prediction of out-of-hospital cardiac arrest with presumed cardiac aetiology using an advanced machine learning technique.

Resuscitation Jun 17, 2019
BACKGROUND: Outcome prediction for patients with out-of-hospital cardiac arrest (OHCA) has the possibility to detect patients who could have been potentially saved. Advanced machine learning techniques have recently been developed and employed for cl...
Machine Learning Prognosis Adult Humans Models, Theoretical Out-of-Hospital Cardiac Arrest Survival Rate Adolescent Cohort Studies
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DeepACLSTM: deep asymmetric convolutional long short-term memory neural models for protein secondary structure prediction.

BMC bioinformatics Jun 17, 2019
BACKGROUND: Protein secondary structure (PSS) is critical to further predict the tertiary structure, understand protein function and design drugs. However, experimental techniques of PSS are time consuming and expensive, and thus it's very urgent to ...
Protein Structure, Secondary Models, Theoretical Algorithms Proteins Deep Learning Protein Domains Neural Networks, Computer
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An influent responsive control strategy with machine learning: Q-learning based optimization method for a biological phosphorus removal system.

Chemosphere Jun 14, 2019
Biological phosphorus removal (BPR) is an economical and sustainable processes for the removal of phosphorus (P) from wastewater, achieved by recirculating activated sludge through anaerobic and aerobic (An/Ae) processes. However, few studies have sy...
Machine Learning Models, Biological Phosphorus Sewage Metabolism Wastewater Models, Theoretical Biological Oxygen Demand Analysis Water Pollutants, Chemical Algorithms Bioreactors Waste Disposal, Fluid
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A new blind source separation framework for signal analysis and artifact rejection in functional Near-Infrared Spectroscopy.

NeuroImage Jun 14, 2019
In the analysis of functional Near-Infrared Spectroscopy (fNIRS) signals from real-world scenarios, artifact rejection is essential. However, currently there exists no gold-standard. Although a plenitude of methodological approaches implicitly assume...
Humans Machine Learning Models, Theoretical Signal Processing, Computer-Assisted Adult Artifacts Spectroscopy, Near-Infrared Cerebral Cortex Functional Neuroimaging
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Can we predict firms' innovativeness? The identification of innovation performers in an Italian region through a supervised learning approach.

PloS one Jun 11, 2019
The study shows the feasibility of predicting firms' expenditures in innovation, as reported in the Community Innovation Survey, applying a supervised machine-learning approach on a sample of Italian firms. Using an integrated dataset of administrati...
Supervised Machine Learning Humans Commerce Models, Theoretical Italy
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Prediction models for high risk of suicide in Korean adolescents using machine learning techniques.

PloS one Jun 6, 2019
OBJECTIVE: Suicide in adolescents is a major problem worldwide and previous history of suicide ideation and attempt represents the strongest predictors of future suicidal behavior. The aim of this study was to develop prediction model to identify Kor...
Suicide Humans ROC Curve Logistic Models Machine Learning Models, Theoretical Risk Factors Republic of Korea Multivariate Analysis Male Female Adolescent
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