AIMC Topic: Algorithms

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Classification of foodborne bacteria using hyperspectral microscope imaging technology coupled with convolutional neural networks.

Applied microbiology and biotechnology Feb 12, 2020
Foodborne pathogens have become ongoing threats in the food industry, whereas their rapid detection and classification at an early stage are still challenging. To address early and rapid detection, hyperspectral microscope imaging (HMI) technology co...
Food Microbiology Foodborne Diseases Microscopy Spectrum Analysis Machine Learning Algorithms Image Processing, Computer-Assisted Bacterial Typing Techniques Neural Networks, Computer
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Identifying the pulsed neuron networks' structures by a nonlinear Granger causality method.

BMC neuroscience Feb 12, 2020
BACKGROUND: It is a crucial task of brain science researches to explore functional connective maps of Biological Neural Networks (BNN). The maps help to deeply study the dominant relationship between the structures of the BNNs and their network funct...
Models, Neurological Brain Mapping Neurons Neural Pathways Nonlinear Dynamics Multivariate Analysis Neural Networks, Computer Algorithms Brain Humans
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Dynamic Modeling and Simulation of a Body Weight Support System.

Journal of healthcare engineering Feb 12, 2020
This paper proposes a body weight support (BWS) system with a series elastic actuator (SEA) to facilitate walking assistance and motor relearning during gait rehabilitation. This system comprises the following: a mobile platform that ensures movement...
Mechanical Phenomena Humans Robotics Orthotic Devices Algorithms Walking Computer Simulation Body Weight
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Logarithmic Fuzzy Entropy Function for Similarity Measurement in Multimodal Medical Images Registration.

Computational and mathematical methods in medicine Feb 12, 2020
Multimodal medical images are useful for observing tissue structure clearly in clinical practice. To integrate multimodal information, multimodal registration is significant. The entropy-based registration applies a structure descriptor set to replac...
Models, Statistical Brain Mapping Multimodal Imaging Image Processing, Computer-Assisted Magnetic Resonance Imaging Fuzzy Logic Entropy Image Interpretation, Computer-Assisted Humans Neuroimaging Tomography, X-Ray Computed Normal Distribution Algorithms Reproducibility of Results Brain
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Multimodal Data Analysis of Alzheimer's Disease Based on Clustering Evolutionary Random Forest.

IEEE journal of biomedical and health informatics Feb 11, 2020
Alzheimer's disease (AD) has become a severe medical challenge. Advances in technologies produced high-dimensional data of different modalities including functional magnetic resonance imaging (fMRI) and single nucleotide polymorphism (SNP). Understan...
Polymorphism, Single Nucleotide Magnetic Resonance Imaging Cluster Analysis Decision Trees Alzheimer Disease Humans Aged, 80 and over Brain Machine Learning Male Female Algorithms Diagnosis, Computer-Assisted Aged
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Prehospital triage of acute aortic syndrome using a machine learning algorithm.

The British journal of surgery Feb 11, 2020
BACKGROUND: Acute aortic syndrome (AAS) comprises a complex and potentially fatal group of conditions requiring emergency specialist management. The aim of this study was to build a prediction algorithm to assist prehospital triage of AAS.
Aortic Diseases Clinical Decision Rules Humans Machine Learning Middle Aged Female Algorithms Hospital Mortality Acute Disease Reproducibility of Results Prospective Studies Emergency Medical Services Logistic Models Syndrome Aged Triage Prognosis Male
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A Machine Learning Approach for Drug-target Interaction Prediction using Wrapper Feature Selection and Class Balancing.

Molecular informatics Feb 11, 2020
Drug-Target interaction (DTI) plays a crucial role in drug discovery, drug repositioning and understanding the drug side effects which helps to identify new therapeutic profiles for various diseases. However, the exponential growth in the genomic and...
Enzymes Ion Channels Amino Acid Sequence Databases, Chemical Receptors, Cytoplasmic and Nuclear Algorithms Computer Simulation Drug Discovery Receptors, G-Protein-Coupled Pharmaceutical Preparations Drug Development Machine Learning Databases, Protein
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Disease Classification in Eggplant Using Pre-trained VGG16 and MSVM.

Scientific reports Feb 11, 2020
Currently, the application of deep learning in crop disease classification is one of the active areas of research for which an image dataset is required. Eggplant (Solanum melongena) is one of the important crops, but it is susceptible to serious dis...
Algorithms Image Processing, Computer-Assisted Support Vector Machine Plant Leaves Neural Networks, Computer Machine Learning Plant Diseases Solanum melongena
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GARS: Genetic Algorithm for the identification of a Robust Subset of features in high-dimensional datasets.

BMC bioinformatics Feb 11, 2020
BACKGROUND: Feature selection is a crucial step in machine learning analysis. Currently, many feature selection approaches do not ensure satisfying results, in terms of accuracy and computational time, when the amount of data is huge, such as in 'Omi...
Algorithms Datasets as Topic Machine Learning
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Short Keynote Paper: Mainstreaming Personalized Healthcare-Transforming Healthcare Through New Era of Artificial Intelligence.

IEEE journal of biomedical and health informatics Feb 10, 2020
Medicine has entered the digital era, driven by data from new modalities, especially genomics and imaging, as well as new sources such as wearables and Internet of Things. As we gain a deeper understanding of the disease biology and how diseases affe...
Humans Artificial Intelligence Sepsis Lung Neoplasms Genomics Medical Informatics Algorithms Precision Medicine Deep Learning
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