AIMC Topic: Algorithms

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Multi-frequency symmetry difference electrical impedance tomography with machine learning for human stroke diagnosis.

Physiological measurement Aug 11, 2020
OBJECTIVE: Multi-frequency symmetry difference electrical impedance tomography (MFSD-EIT) can robustly detect and identify unilateral perturbations in symmetric scenes. Here, an investigation is performed to assess if the algorithm can be successfull...
Stroke Electric Impedance Finite Element Analysis Tomography Algorithms Image Processing, Computer-Assisted Support Vector Machine Humans Machine Learning
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Photoplethysmographic-based automated sleep-wake classification using a support vector machine.

Physiological measurement Aug 11, 2020
OBJECTIVE: Sleep quality has a significant impact on human mental and physical health. The detection of sleep-wake states is thus of paramount importance in the study of sleep. The gold standard method for sleep-wake classification is multi-sensor-ba...
Photoplethysmography Humans Sleep Support Vector Machine Algorithms Polysomnography Wearable Electronic Devices
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Use of deep learning methods to translate drug-induced gene expression changes from rat to human primary hepatocytes.

PloS one Aug 11, 2020
In clinical trials, animal and cell line models are often used to evaluate the potential toxic effects of a novel compound or candidate drug before progressing to human trials. However, relating the results of animal and in vitro model exposures to r...
Rats Algorithms Clinical Trials as Topic Hepatocytes Humans Animals Gene Expression Regulation Neural Networks, Computer Deep Learning Machine Learning
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Predictive modeling of estrogen receptor agonism, antagonism, and binding activities using machine- and deep-learning approaches.

Laboratory investigation; a journal of technical methods and pathology Aug 10, 2020
As defined by the World Health Organization, an endocrine disruptor is an exogenous substance or mixture that alters function(s) of the endocrine system and consequently causes adverse health effects in an intact organism, its progeny, or (sub)popula...
Endocrine Disruptors Receptors, Estrogen Algorithms Computational Biology Animals Models, Statistical Deep Learning Databases, Chemical Humans Protein Binding Machine Learning Mice
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Manganese (Mn) removal prediction using extreme gradient model.

Ecotoxicology and environmental safety Aug 10, 2020
Exploring the Manganese (Mn) removal prediction with several independent variables is tremendously critical and indispensable to understand the pattern of removal process. Mn is one of the key heavy metals (HMs) stipulated by the WHO for the developm...
Water Pollutants, Chemical Fresh Water Manganese Ecosystem Machine Learning Models, Theoretical Algorithms Support Vector Machine Forecasting
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Numerical simulation of deformed red blood cell by utilizing neural network approach and finite element analysis.

Computer methods in biomechanics and biomedical engineering Aug 10, 2020
In order to have research on the deformation characteristics and mechanical properties of human red blood cells (RBCs), finite element models of RBC optical tweezers stretching and atomic force microscope (AFM) indentation were established. Non-linea...
Humans Stress, Mechanical Elasticity Finite Element Analysis Models, Biological Numerical Analysis, Computer-Assisted Nonlinear Dynamics Microscopy, Atomic Force Erythrocytes Neural Networks, Computer Algorithms Computer Simulation Erythrocyte Deformability
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Estimation and easy calculation of the Palmer Drought Severity Index from the meteorological data by using the advanced machine learning algorithms.

Environmental monitoring and assessment Aug 10, 2020
Drought, which has become one of the most severe environmental problems worldwide, has serious impacts on ecological, economic, and socially sustainable development. The drought monitoring process is essential in the management of drought risks, and ...
Environmental Monitoring Support Vector Machine Droughts Machine Learning Algorithms
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Personal Health Information Inference Using Machine Learning on RNA Expression Data from Patients With Cancer: Algorithm Validation Study.

Journal of medical Internet research Aug 10, 2020
BACKGROUND: As the need for sharing genomic data grows, privacy issues and concerns, such as the ethics surrounding data sharing and disclosure of personal information, are raised.
Adult Male Middle Aged Neoplasms Aged Aged, 80 and over Young Adult Health Records, Personal RNA High-Throughput Nucleotide Sequencing Adolescent Child Support Vector Machine Humans Algorithms Female Neural Networks, Computer Machine Learning
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A machine learning approach identified a diagnostic model for pancreatic cancer through using circulating microRNA signatures.

Pancreatology : official journal of the International Association of Pancreatology (IAP) ... [et al.] Aug 9, 2020
Late diagnosis of pancreatic cancer (PC) due to the limited effectiveness of modern testing approaches, causes many patients to miss the chance of surgery and consequently leads to a high mortality rate. Pivotal improvements in circulating microRNA e...
Computational Biology Gene Expression Regulation, Neoplastic Early Detection of Cancer MicroRNAs Humans Survival Analysis Kaplan-Meier Estimate Pancreatic Neoplasms Neural Networks, Computer Algorithms Microarray Analysis Predictive Value of Tests Machine Learning Circulating MicroRNA Reproducibility of Results Principal Component Analysis Sensitivity and Specificity
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DeepPred-SubMito: A Novel Submitochondrial Localization Predictor Based on Multi-Channel Convolutional Neural Network and Dataset Balancing Treatment.

International journal of molecular sciences Aug 9, 2020
Mitochondrial proteins are physiologically active in different compartments, and their abnormal location will trigger the pathogenesis of human mitochondrial pathologies. Correctly identifying submitochondrial locations can provide information for di...
Algorithms Deep Learning Humans Neural Networks, Computer Mitochondrial Proteins Computational Biology Mitochondrial Membranes Mitochondria Protein Transport
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