AIMC Topic: Linear Models

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Comparison of Models for Predicting Quality of Life After Surgical Resection of Hepatocellular Carcinoma: a Prospective Study.

Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract Jun 18, 2018
BACKGROUND: The essential issue of internal validity has not been adequately addressed in prediction models such as artificial neural network (ANN), support vector machine (SVM), Gaussian process regression (GPR), and multiple linear regression (MLR)...
Female Aged Male Middle Aged Humans Neural Networks, Computer Prospective Studies Neoplasm Staging Linear Models Postoperative Period Normal Distribution Quality of Life Liver Neoplasms Carcinoma, Hepatocellular Support Vector Machine
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A bioavailable strontium isoscape for Western Europe: A machine learning approach.

PloS one May 30, 2018
Strontium isotope ratios (87Sr/86Sr) are gaining considerable interest as a geolocation tool and are now widely applied in archaeology, ecology, and forensic research. However, their application for provenance requires the development of baseline mod...
Climate Strontium Isotopes Environmental Monitoring Machine Learning Geography Europe Algorithms Atmosphere Regression Analysis Geology Linear Models
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A comparison of statistical and machine-learning techniques in evaluating the association between dietary patterns and 10-year cardiometabolic risk (2002-2012): the ATTICA study.

The British journal of nutrition May 23, 2018
Statistical methods are usually applied in examining diet-disease associations, whereas factor analysis is commonly used for dietary pattern recognition. Recently, machine learning (ML) has been also proposed as an alternative technique in health cla...
Sex Factors Linear Models Pattern Recognition, Automated Hypercholesterolemia Adolescent Incidence Hypertension Diabetes Mellitus Follow-Up Studies Models, Statistical Blood Pressure Data Interpretation, Statistical Cardiovascular Diseases Middle Aged Diet Risk Assessment Young Adult Adult Male Humans Machine Learning Prospective Studies Female Reproducibility of Results Risk Factors Aged Aged, 80 and over
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Development of GP and GEP models to estimate an environmental issue induced by blasting operation.

Environmental monitoring and assessment May 21, 2018
Air overpressure (AOp) is one of the most adverse effects induced by blasting in the surface mines and civil projects. So, proper evaluation and estimation of the AOp is important for minimizing the environmental problems resulting from blasting. The...
Artificial Intelligence Algorithms Models, Theoretical Environmental Monitoring Iran Linear Models Environment Explosions
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Using Bayesian dynamical systems, model averaging and neural networks to determine interactions between socio-economic indicators.

PloS one May 9, 2018
Social and economic systems produce complex and nonlinear relationships in the indicator variables that describe them. We present a Bayesian methodology to analyze the dynamical relationships between indicator variables by identifying the nonlinear f...
Models, Statistical Bayes Theorem Linear Models Neural Networks, Computer Democracy Computer Simulation Socioeconomic Factors
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Quantitative analysis of glycated albumin in serum based on ATR-FTIR spectrum combined with SiPLS and SVM.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy May 7, 2018
A rapid quantitative analysis model for determining the glycated albumin (GA) content based on Attenuated total reflectance (ATR)-Fourier transform infrared spectroscopy (FTIR) combining with linear SiPLS and nonlinear SVM has been developed. Firstly...
Humans Reproducibility of Results Sensitivity and Specificity Support Vector Machine Serum Albumin Spectroscopy, Fourier Transform Infrared Glycated Serum Albumin Least-Squares Analysis Linear Models Glycation End Products, Advanced
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A fresh look at functional link neural network for motor imagery-based brain-computer interface.

Journal of neuroscience methods May 4, 2018
BACKGROUND: Artificial neural networks (ANNs) are one of the widely used classifiers in the brain-computer interface (BCI) systems-based on noninvasive electroencephalography (EEG) signals. Among the different ANN architectures, the most commonly app...
Imagination Brain Support Vector Machine Bayes Theorem Electroencephalography Signal Processing, Computer-Assisted Humans Linear Models Neural Networks, Computer Brain-Computer Interfaces Motor Activity
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Mining the literature for genes associated with placenta-mediated maternal diseases.

AMIA ... Annual Symposium proceedings. AMIA Symposium Apr 16, 2018
Automated literature analysis could significantly speed up understanding of the role of the placenta and the impact of its development and functions on the health of the mother and the child. To facilitate automatic extraction of information about pl...
Data Mining Genotype Humans Pregnancy Complications Pregnancy Linear Models Disease Support Vector Machine MEDLINE Placenta Female Medical Subject Headings Supervised Machine Learning
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Does Cognitive Impairment and Agitation in Dementia Influence Intervention Effectiveness? Findings From a Cluster-Randomized-Controlled Trial With the Therapeutic Robot, PARO.

Journal of the American Medical Directors Association Apr 13, 2018
OBJECTIVES: To explore whether severity of cognitive impairment and agitation of older people with dementia predict outcomes in engagement, mood states, and agitation after a 10-week intervention with the robotic seal, PARO.
Humans Female Aged, 80 and over Robotics Male Linear Models Severity of Illness Index Psychomotor Agitation Cognitive Dysfunction Play and Playthings Dementia
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Deep learning for healthcare applications based on physiological signals: A review.

Computer methods and programs in biomedicine Apr 11, 2018
BACKGROUND AND OBJECTIVE: We have cast the net into the ocean of knowledge to retrieve the latest scientific research on deep learning methods for physiological signals. We found 53 research papers on this topic, published from 01.01.2008 to 31.12.20...
Neurons Quality of Health Care Medical Informatics Linear Models Electrooculography Electrocardiography Electroencephalography Signal Processing, Computer-Assisted Electromyography Humans Machine Learning Algorithms Diagnosis, Computer-Assisted
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