AIMC Topic: Linear Models

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Blood Biomarkers Predict Cardiac Workload Using Machine Learning.

BioMed research international Jun 1, 2021
INTRODUCTION: Rate pressure product (the product of heart rate and systolic blood pressure) is a measure of cardiac workload. Resting rate pressure product (rRPP) varies from one individual to the next, but its biochemical/cellular phenotype remains ...
Systole Cardiovascular System Heart Adult Heart Rate Linear Models Male Phenotype Humans Middle Aged Biomarkers Machine Learning Female Predictive Value of Tests Algorithms Blood Pressure China Neutrophils
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Aesthetic preference for art can be predicted from a mixture of low- and high-level visual features.

Nature human behaviour May 20, 2021
It is an open question whether preferences for visual art can be lawfully predicted from the basic constituent elements of a visual image. Here, we developed and tested a computational framework to investigate how aesthetic values are formed. We show...
Middle Aged Adolescent Linear Models Photic Stimulation Young Adult Adult Male Art Visual Perception Esthetics Choice Behavior Neural Networks, Computer Female Humans
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Which GAN? A comparative study of generative adversarial network-based fast MRI reconstruction.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences May 10, 2021
Fast magnetic resonance imaging (MRI) is crucial for clinical applications that can alleviate motion artefacts and increase patient throughput. -space undersampling is an obvious approach to accelerate MR acquisition. However, undersampling of -space...
Databases, Factual Brain Deep Learning Magnetic Resonance Imaging Humans Neural Networks, Computer Algorithms Linear Models Likelihood Functions Liver Data Compression Knee Benchmarking Image Interpretation, Computer-Assisted
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Spatial prediction of human brucellosis (HB) using a GIS-based adaptive neuro-fuzzy inference system (ANFIS).

Acta tropica May 9, 2021
OBJECTIVE: This study pursues three main objectives: 1) exploring the spatial distribution patterns of human brucellosis (HB); 2) identifying parameters affecting the disease spread; and 3) modeling and predicting the spatial distribution of HB cases...
Brucellosis Fuzzy Logic Cluster Analysis Linear Models Climate Models, Statistical Neural Networks, Computer Spatial Analysis Humans Animals Geographic Information Systems Incidence
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Flexible multi-view semi-supervised learning with unified graph.

Neural networks : the official journal of the International Neural Network Society May 5, 2021
At present, the diversity of data acquisition boosts the growth of multi-view data and the lack of label information. Since manually labeling is expensive and impractical, it is practical to enhance learning performance with a small amount of labeled...
Algorithms Databases, Factual Data Management Supervised Machine Learning Linear Models
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A spatially based quantile regression forest model for mapping rural land values.

Journal of environmental management Apr 6, 2021
Rural land valuation plays an important role in the development of land use policies for agricultural purposes. The advance of computational software and machine learning methods has enhanced mass appraisal methodologies for modeling and predicting e...
Algorithms Environmental Monitoring Spatial Analysis Linear Models Machine Learning
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A Fast Linear Neighborhood Similarity-Based Network Link Inference Method to Predict MicroRNA-Disease Associations.

IEEE/ACM transactions on computational biology and bioinformatics Apr 6, 2021
Increasing evidences revealed that microRNAs (miRNAs) play critical roles in important biological processes. The identification of disease-related miRNAs is critical to understand the molecular mechanisms of human diseases. Most existing computationa...
MicroRNAs Linear Models Genetic Predisposition to Disease Computational Biology Models, Genetic Humans Machine Learning
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Predicting Length of Stay of Coronary Artery Bypass Grafting Patients Using Machine Learning.

The Journal of surgical research Mar 27, 2021
BACKGROUND: There is a growing need to identify which bits of information are most valuable for healthcare providers. The aim of this study was to search for the highest impact variables in predicting postsurgery length of stay (LOS) for patients who...
Intraoperative Care Aged Databases, Factual Male Length of Stay Creatinine Female Risk Assessment Middle Aged Blood Loss, Surgical Linear Models Risk Factors Postoperative Complications Preoperative Period Humans Blood Transfusion Coronary Artery Bypass Machine Learning Predictive Value of Tests Forecasting Coronary Artery Disease
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A random forest method with feature selection for developing medical prediction models with clustered and longitudinal data.

Journal of biomedical informatics Mar 26, 2021
BACKGROUND: Machine learning methodologies are gaining popularity for developing medical prediction models for datasets with a large number of predictors, particularly in the setting of clustered and longitudinal data. Binary Mixed Model (BiMM) fores...
Machine Learning Algorithms Computer Simulation Linear Models
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Design of a hesitant movement gesture for mobile robots.

PloS one Mar 25, 2021
In previous experiments, a back-off movement was introduced as a motion strategy of robots to facilitate the order of passage at bottlenecks in human-robot spatial interaction. In this article we take a closer look at the appropriate application of m...
Humans Young Adult Adult Robotics Linear Models Middle Aged Equipment Design Movement Virtual Reality
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