AIMC Topic: Linear Models

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Drug-drug interaction extraction from biomedical texts using long short-term memory network.

Journal of biomedical informatics Aug 21, 2018
The simultaneous administration of multiple drugs increases the probability of interaction among them, as one drug may affect the activities of others. This interaction among drugs may have a positive or negative impact on the therapeutic outcomes. T...
Linguistics Medical Informatics Semantics Linear Models Polypharmacy Support Vector Machine Drug Interactions Knowledge Bases Neural Networks, Computer Software Algorithms Language Reproducibility of Results
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Improved perfusion pattern score association with type 2 diabetes severity using machine learning pipeline: Pilot study.

Journal of magnetic resonance imaging : JMRI Aug 5, 2018
BACKGROUND: Type 2 diabetes mellitus (T2DM) is associated with alterations in the blood-brain barrier, neuronal damage, and arterial stiffness, thus affecting cerebral metabolism and perfusion. There is a need to implement machine-learning methodolog...
Severity of Illness Index Pilot Projects Diabetes Mellitus, Type 2 Imaging, Three-Dimensional Cross-Sectional Studies Male Middle Aged Perfusion Cognition Disorders Linear Models Insulin Resistance Longitudinal Studies Magnetic Resonance Imaging Brain Mapping Humans Machine Learning Prospective Studies Brain Female Aged Aged, 80 and over
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Predicting Motor and Cognitive Improvement Through Machine Learning Algorithm in Human Subject that Underwent a Rehabilitation Treatment in the Early Stage of Stroke.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Aug 2, 2018
BACKGROUND: The objective of this study was to investigate, in subject with stroke, the exact role as prognostic factor of common inflammatory biomarkers and other markers in predicting motor and/or cognitive improvement after rehabilitation treatmen...
Humans Leukocyte Count Motor Activity Stroke Rehabilitation Hematocrit Inflammation Mediators Linear Models Motor Skills Treatment Outcome Longitudinal Studies Health Status Inpatients Female Recovery of Function Machine Learning Male Predictive Value of Tests Decision Support Techniques Time Factors Disability Evaluation Biomarkers Cognition Stroke
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Modeling of an activated sludge process for effluent prediction-a comparative study using ANFIS and GLM regression.

Environmental monitoring and assessment Aug 1, 2018
In this paper, nonlinear system identification of the activated sludge process in an industrial wastewater treatment plant was completed using adaptive neuro-fuzzy inference system (ANFIS) and generalized linear model (GLM) regression. Predictive mod...
Neural Networks, Computer Models, Chemical Sewage Linear Models Water Pollution, Chemical Wastewater Organic Chemicals Environmental Monitoring Fuzzy Logic
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Evaluation of multiple linear, neural network and penalised regression models for prediction of rice yield based on weather parameters for west coast of India.

International journal of biometeorology Jul 24, 2018
Rice is generally grown under completely flooded condition and providing food for more than half of the world's population. Any changes in weather parameters might affect the rice productivity thereby impacting the food security of burgeoning populat...
Agriculture Oryza Weather Linear Models Neural Networks, Computer Forecasting India
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Estimating the Temperature of Heat-exposed Bone via Machine Learning Analysis of SCI Color Values: A Pilot Study.

Journal of forensic sciences Jul 12, 2018
Determining maximum heating temperatures of burnt bones is a long-standing problem in forensic science and archaeology. In this pilot study, controlled experiments were used to heat 14 fleshed and defleshed pig vertebrae (wet bones) and archaeologica...
Humans Machine Learning Swine Algorithms Color Animals Hot Temperature Pilot Projects Spine Spectrophotometry Trace Elements Linear Models Discriminant Analysis
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Synchronization criteria for inertial memristor-based neural networks with linear coupling.

Neural networks : the official journal of the International Neural Network Society Jul 5, 2018
This paper is concerned with the synchronization problem for an array of memristive neural networks with inertial term, linear coupling and time-varying delay. Since parameters in the connection weight matrices are state-dependent, that is to say, th...
Algorithms Models, Theoretical Linear Models Neural Networks, Computer Uncertainty
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3D matters! 3D-RISM and 3D convolutional neural network for accurate bioaccumulation prediction.

Journal of physics. Condensed matter : an Institute of Physics journal Jul 2, 2018
In this work, we present a new method for predicting complex physical-chemical properties of organic molecules. The approach utilizes 3D convolutional neural network (ActivNet4) that uses solvent spatial distributions around solutes as input. These s...
Linear Models Molecular Conformation Thermodynamics Neural Networks, Computer Models, Molecular
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Perturbation-Theory and Machine Learning (PTML) Model for High-Throughput Screening of Parham Reactions: Experimental and Theoretical Studies.

Journal of chemical information and modeling Jun 27, 2018
Machine learning (ML) algorithms are gaining importance in the processing of chemical information and modeling of chemical reactivity problems. In this work, we have developed a perturbation-theory and machine learning (PTML) model combining perturba...
Isoquinolines High-Throughput Screening Assays Linear Models Neural Networks, Computer Databases, Chemical Structure-Activity Relationship Organometallic Compounds Machine Learning Molecular Structure Thermodynamics Algorithms Models, Chemical Cyclization Lithium
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Research on air pollutant concentration prediction method based on self-adaptive neuro-fuzzy weighted extreme learning machine.

Environmental pollution (Barking, Essex : 1987) Jun 23, 2018
In order to improve the prediction accuracy and real-time of the air pollutant concentration prediction, this paper proposes self-adaptive neuro-fuzzy weighted extreme learning machine (ANFIS-WELM) based on the weighted extreme learning machine (WELM...
Taiwan Algorithms Neural Networks, Computer Air Pollutants Research Machine Learning Air Pollution Software Environmental Monitoring Linear Models Fuzzy Logic
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