AIMC Topic: Data Interpretation, Statistical

Clear Filters Showing 121 to 130 of 233 articles

Remote sensing-based measurement of Living Environment Deprivation: Improving classical approaches with machine learning.

PloS one May 2, 2017
This paper provides evidence on the usefulness of very high spatial resolution (VHR) imagery in gathering socioeconomic information in urban settlements. We use land cover, spectral, structure and texture features extracted from a Google Earth image ...
Remote Sensing Technology Least-Squares Analysis Linear Models Cities Socioeconomic Factors Urban Population Data Interpretation, Statistical Humans Machine Learning England
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Exploiting Linkage Information and Problem-Specific Knowledge in Evolutionary Distribution Network Expansion Planning.

Evolutionary computation Apr 7, 2017
This article tackles the Distribution Network Expansion Planning (DNEP) problem that has to be solved by distribution network operators to decide which, where, and/or when enhancements to electricity networks should be introduced to satisfy the futur...
Humans Neural Networks, Computer Data Interpretation, Statistical Problem Solving Biological Evolution Genetic Linkage Software Algorithms Computer Simulation Models, Theoretical
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Application of artificial neural network in medical geochemistry.

Environmental geochemistry and health Mar 28, 2017
For the evaluation of various adverse health effects of chemical elements occurring in the environment on humans, the comparison and linking of geochemical data (chemical composition of groundwater, soils, and dusts) with data on health status of pop...
Soil Male Dust Groundwater Humans Neural Networks, Computer Female Life Expectancy Health Status Indicators Slovakia Environmental Monitoring Data Interpretation, Statistical Cause of Death Environmental Pollutants
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Using classification tree analysis to generate propensity score weights.

Journal of evaluation in clinical practice Mar 28, 2017
RATIONALE, AIMS AND OBJECTIVES: In evaluating non-randomized interventions, propensity scores (PS) estimate the probability of assignment to the treatment group given observed characteristics. Machine learning algorithms have been proposed as an alte...
Machine Learning Computer Simulation Logistic Models Observational Studies as Topic Models, Statistical Data Interpretation, Statistical Propensity Score Monte Carlo Method Humans
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Artificial intelligence (AI) systems for interpreting complex medical datasets.

Clinical pharmacology and therapeutics Mar 17, 2017
Advances in machine intelligence have created powerful capabilities in algorithms that find hidden patterns in data, classify objects based on their measured characteristics, and associate similar patients/diseases/drugs based on common features. How...
Databases, Factual Data Interpretation, Statistical Humans Artificial Intelligence Algorithms
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Improving zero-training brain-computer interfaces by mixing model estimators.

Journal of neural engineering Mar 13, 2017
OBJECTIVE: Brain-computer interfaces (BCI) based on event-related potentials (ERP) incorporate a decoder to classify recorded brain signals and subsequently select a control signal that drives a computer application. Standard supervised BCI decoders ...
Humans Communication Devices for People with Disabilities Sensitivity and Specificity Male Models, Statistical Data Interpretation, Statistical Pattern Recognition, Automated Brain-Computer Interfaces Task Performance and Analysis Evoked Potentials Computer Simulation Female Reproducibility of Results Adult Machine Learning Algorithms Brain
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Predictability and interpretability of hybrid link-level crash frequency models for urban arterials compared to cluster-based and general negative binomial regression models.

International journal of injury control and safety promotion Feb 24, 2017
Machine learning (ML) techniques have higher prediction accuracy compared to conventional statistical methods for crash frequency modelling. However, their black-box nature limits the interpretability. The objective of this research is to combine bot...
Data Interpretation, Statistical Accidents, Traffic Binomial Distribution Cluster Analysis Models, Statistical Regression Analysis Machine Learning Forecasting Cities Environment Design Humans
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Performance analysis of a machine learning flagging system used to identify a group of individuals at a high risk for colorectal cancer.

PloS one Feb 9, 2017
Individuals with colorectal cancer (CRC) have a tendency to intestinal bleeding which may result in mild to severe iron deficiency anemia, but for many colon cancer patients hematological abnormalities are subtle. The fecal occult blood test (FOBT) i...
Middle Aged Colonoscopy Mass Screening Early Detection of Cancer Aged Colorectal Neoplasms Male Data Interpretation, Statistical Referral and Consultation Occult Blood Humans Machine Learning Retrospective Studies Female Risk Factors
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Automated diagnosis of congestive heart failure using dual tree complex wavelet transform and statistical features extracted from 2s of ECG signals.

Computers in biology and medicine Feb 7, 2017
Identification of alarming features in the electrocardiogram (ECG) signal is extremely significant for the prediction of congestive heart failure (CHF). ECG signal analysis carried out using computer-aided techniques can speed up the diagnosis proces...
Machine Learning Algorithms Computer Simulation Female Reproducibility of Results Aged Aged, 80 and over Young Adult Humans Heart Failure Pattern Recognition, Automated Wavelet Analysis Diagnosis, Computer-Assisted Electrocardiography Models, Statistical Data Interpretation, Statistical Adult Sensitivity and Specificity Male Middle Aged
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Gradient Boosted Decision Tree Classification of Endophthalmitis Versus Uveitis and Lymphoma from Aqueous and Vitreous IL-6 and IL-10 Levels.

Journal of ocular pharmacology and therapeutics : the official journal of the Association for Ocular Pharmacology and Therapeutics Feb 3, 2017
PURPOSE: To investigate the effectiveness of gradient boosting to classify endophthalmitis versus uveitis and lymphoma by intraocular cytokine levels.
Data Interpretation, Statistical Uveitis Endophthalmitis ROC Curve Lymphoma Decision Trees Humans Machine Learning Interleukin-10 Interleukin-6 Water
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