Humans

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3D Molecular Representations Based on the Wave Transform for Convolutional Neural Networks.

Molecular pharmaceutics Mar 5, 2018
Convolutional neural networks (CNN) have been successfully used to handle three-dimensional data and are a natural match for data with spatial structure such as 3D molecular structures. However, a direct 3D representation of a molecule with atoms loc...
Animals Neural Networks, Computer Databases, Factual Humans
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Generative adversarial network based telecom fraud detection at the receiving bank.

Neural networks : the official journal of the International Neural Network Society Mar 5, 2018
Recently telecom fraud has become a serious problem especially in developing countries such as China. At present, it can be very difficult to coordinate different agencies to prevent fraud completely. In this paper we study how to detect large transf...
Machine Learning Fraud Computer Communication Networks Humans
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Machine learning, natural language programming, and electronic health records: The next step in the artificial intelligence journey?

The Journal of allergy and clinical immunology Mar 5, 2018
Natural Language Processing Machine Learning Electronic Health Records Humans
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A Poincare map based analysis of stroke patients' walking after a rehabilitation by a robot.

Mathematical biosciences Mar 5, 2018
Since the past decade, rehabilitation robots have become common technologies for recovering gait ability after a stroke. Nevertheless, it is believed that these robots can be further enhanced. Hence, several researches are making progress in optimizi...
Stroke Rehabilitation Gait Disorders, Neurologic Walking Hemiplegia Humans Robotics Stroke Models, Theoretical
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Using deep learning to model the hierarchical structure and function of a cell.

Nature methods Mar 5, 2018
Although artificial neural networks are powerful classifiers, their internal structures are hard to interpret. In the life sciences, extensive knowledge of cell biology provides an opportunity to design visible neural networks (VNNs) that couple the ...
Humans Gene Expression Regulation Cell Physiological Phenomena Deep Learning Neural Networks, Computer Genotype Computer Simulation
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Virtual Sensors for Advanced Controllers in Rehabilitation Robotics.

Sensors (Basel, Switzerland) Mar 5, 2018
In order to properly control rehabilitation robotic devices, the measurement of interaction force and motion between patient and robot is an essential part. Usually, however, this is a complex task that requires the use of accurate sensors which incr...
Robotics Upper Extremity Humans Models, Theoretical
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Multiclass Classification of Cardiac Arrhythmia Using Improved Feature Selection and SVM Invariants.

Computational and mathematical methods in medicine Mar 5, 2018
Arrhythmia is considered a life-threatening disease causing serious health issues in patients, when left untreated. An early diagnosis of arrhythmias would be helpful in saving lives. This study is conducted to classify patients into one of the sixte...
(1)
Cardiac Conduction System Disease Humans Arrhythmias, Cardiac Support Vector Machine Datasets as Topic
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Two-stage approach for risk estimation of fetal trisomy 21 and other aneuploidies using computational intelligence systems.

Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology Mar 4, 2018
OBJECTIVE: To estimate the risk of fetal trisomy 21 (T21) and other chromosomal abnormalities (OCA) at 11-13 weeks' gestation using computational intelligence classification methods.
Artificial Intelligence Pregnancy Female Humans Pregnancy Trimester, First Down Syndrome Sensitivity and Specificity Prenatal Diagnosis Risk Assessment
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Feasibility of an AI-Based Measure of the Hand Motions of Expert and Novice Surgeons.

Computational and mathematical methods in medicine Mar 4, 2018
This study investigated whether parameters derived from hand motions of expert and novice surgeons accurately and objectively reflect laparoscopic surgical skill levels using an artificial intelligence system consisting of a three-layer chaos neural ...
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Movement Clinical Competence Computational Biology Computer Simulation Surgeons Humans Hand Artificial Intelligence Feasibility Studies Machine Learning Task Performance and Analysis Education, Medical, Continuing Neural Networks, Computer Laparoscopy
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Tissue classification and segmentation of pressure injuries using convolutional neural networks.

Computer methods and programs in biomedicine Mar 3, 2018
BACKGROUND AND OBJECTIVES: This paper presents a new approach for automatic tissue classification in pressure injuries. These wounds are localized skin damages which need frequent diagnosis and treatment. Therefore, a reliable and accurate systems fo...
Databases, Factual Tomography, X-Ray Computed Sensitivity and Specificity Image Processing, Computer-Assisted Reproducibility of Results Neural Networks, Computer Algorithms Pressure Ulcer Humans Models, Anatomic Wound Healing Models, Statistical Necrosis Wounds and Injuries
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