AIMC Topic: Algorithms

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Effects of Transcranial Direct Current Stimulation (tDCS) Combined With Wrist Robot-Assisted Rehabilitation on Motor Recovery in Subacute Stroke Patients: A Randomized Controlled Trial.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Jun 3, 2019
Both transcranial direct current stimulation (tDCS) and wrist robot-assisted training have demonstrated to be promising approaches for stroke rehabilitation. However, the effects of the combination of the two treatments in subacute stroke patients ar...
Aged Aged, 80 and over Young Adult Adult Humans Algorithms Female Transcranial Direct Current Stimulation Motor Cortex Single-Blind Method Electroencephalography Wrist Combined Modality Therapy Electrodes Upper Extremity Stroke Rehabilitation Biomechanical Phenomena Male Middle Aged Adolescent Treatment Outcome Recovery of Function Robotics
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Margin-Based Pareto Ensemble Pruning: An Ensemble Pruning Algorithm That Learns to Search Optimized Ensembles.

Computational intelligence and neuroscience Jun 3, 2019
The ensemble pruning system is an effective machine learning framework that combines several learners as experts to classify a test set. Generally, ensemble pruning systems aim to define a region of competence based on the validation set to select th...
Scientific Experimental Error Humans Algorithms Machine Learning Computer Simulation Benchmarking Pattern Recognition, Automated
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Predicting cochlear dead regions in patients with hearing loss through a machine learning-based approach: A preliminary study.

PloS one Jun 3, 2019
We propose a machine learning (ML)-based model for predicting cochlear dead regions (DRs) in patients with hearing loss of various etiologies. Five hundred and fifty-five ears from 380 patients (3,770 test samples) diagnosed with sensorineural hearin...
Middle Aged Logistic Models Noise Multivariate Analysis Humans Hearing Loss Machine Learning Auditory Threshold Cochlea Aged, 80 and over Algorithms Young Adult Female Adult Aged Male
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A Machine Learning Approach for the Discovery of Ligand-Specific Functional Mechanisms of GPCRs.

Molecules (Basel, Switzerland) Jun 2, 2019
G protein-coupled receptors (GPCRs) play a key role in many cellular signaling mechanisms, and must select among multiple coupling possibilities in a ligand-specific manner in order to carry out a myriad of functions in diverse cellular contexts. Muc...
Machine Learning Algorithms Molecular Docking Simulation Drug Design Humans Ligands Receptor, Serotonin, 5-HT2A Quantitative Structure-Activity Relationship Binding Sites Drug Discovery Protein Binding Receptors, G-Protein-Coupled Molecular Dynamics Simulation
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Arrangements of Resting State Electroencephalography as the Input to Convolutional Neural Network for Biometric Identification.

Computational intelligence and neuroscience Jun 2, 2019
Biometric is an important field that enables identification of an individual to access their sensitive information and asset. In recent years, electroencephalography- (EEG-) based biometrics have been popularly explored by researchers because EEG is ...
Biometric Identification Algorithms Humans Electroencephalography Neural Networks, Computer Signal Processing, Computer-Assisted Machine Learning Brain-Computer Interfaces
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Convolutional Neural Networks for Recognition of Lymphoblast Cell Images.

Computational intelligence and neuroscience Jun 2, 2019
This paper presents the recognition for WHO classification of acute lymphoblastic leukaemia (ALL) subtypes. The two ALL subtypes considered are T-lymphoblastic leukaemia (pre-T) and B-lymphoblastic leukaemia (pre-B). They exhibit various characterist...
Machine Learning Urogenital Abnormalities Humans Lymphocytes Osteochondrodysplasias Algorithms Neural Networks, Computer Nerve Net Support Vector Machine Recognition, Psychology Adrenal Insufficiency Fetal Growth Retardation
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VesselNet: A deep convolutional neural network with multi pathways for robust hepatic vessel segmentation.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Jun 1, 2019
Extraction or segmentation of organ vessels is an important task for surgical planning and computer-aided diagnoses. This is a challenging task due to the extremely small size of the vessel structure, low SNR, and varying contrast in medical image da...
Deep Learning Imaging, Three-Dimensional Liver Datasets as Topic Neural Networks, Computer Algorithms Diagnosis, Computer-Assisted Blood Vessels Humans
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Classification of Skin Disease using Ensemble Data Mining Techniques.

Asian Pacific journal of cancer prevention : APJCP Jun 1, 2019
Objective: Skin diseases are a major global health problem associated with high number of people. With the rapid development of technologies and the application of various data mining techniques in recent years, the progress of dermatological predict...
Humans Machine Learning Algorithms Prognosis Skin Diseases Data Mining
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Heterogeneous Multilayer Generalized Operational Perceptron.

IEEE transactions on neural networks and learning systems May 31, 2019
The traditional multilayer perceptron (MLP) using a McCulloch-Pitts neuron model is inherently limited to a set of neuronal activities, i.e., linear weighted sum followed by nonlinear thresholding step. Previously, generalized operational perceptron ...
Neural Networks, Computer Algorithms Databases, Factual
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Development and Validation of Deep Learning Models for Screening Multiple Abnormal Findings in Retinal Fundus Images.

Ophthalmology May 31, 2019
PURPOSE: To develop and evaluate deep learning models that screen multiple abnormal findings in retinal fundus images.
Retinal Diseases Adult Sensitivity and Specificity Fundus Oculi Cross-Sectional Studies Image Interpretation, Computer-Assisted Male Algorithms Datasets as Topic Humans Female Middle Aged Neural Networks, Computer Aged Deep Learning Machine Learning Aged, 80 and over ROC Curve Area Under Curve
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