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Artificial intelligence in retina.

Progress in retinal and eye research Aug 1, 2018
Major advances in diagnostic technologies are offering unprecedented insight into the condition of the retina and beyond ocular disease. Digital images providing millions of morphological datasets can fast and non-invasively be analyzed in a comprehe...
Reproducibility of Results Deep Learning Retinal Diseases Humans Neural Networks, Computer Artificial Intelligence Diagnostic Techniques, Ophthalmological Nerve Net
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Conditional random fields for clinical named entity recognition: A comparative study using Korean clinical texts.

Computers in biology and medicine Aug 1, 2018
BACKGROUND: This study demonstrates clinical named entity recognition (NER) methods on the clinical texts of rheumatism patients in South Korea. Despite the recent increase in the adoption rate of the electronic health record (EHR) system in global h...
Data Mining Medical Informatics Humans Republic of Korea Natural Language Processing
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Monitoring changes in the Gene Ontology and their impact on genomic data analysis.

GigaScience Aug 1, 2018
BACKGROUND: The Gene Ontology (GO) is one of the most widely used resources in molecular and cellular biology, largely through the use of "enrichment analysis." To facilitate informed use of GO, we present GOtrack (https://gotrack.msl.ubc.ca), which ...
Gene Ontology Eukaryota Humans Animals Genomics Molecular Sequence Annotation
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Deep Neural Network Based Predictions of Protein Interactions Using Primary Sequences.

Molecules (Basel, Switzerland) Aug 1, 2018
Machine learning based predictions of proteinā»protein interactions (PPIs) could provide valuable insights into protein functions, disease occurrence, and therapy design on a large scale. The intensive feature engineering in most of these methods make...
Protein Binding Humans Amino Acid Sequence Neural Networks, Computer Protein Interaction Mapping Animals
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Multiday EMG-Based Classification of Hand Motions with Deep Learning Techniques.

Sensors (Basel, Switzerland) Aug 1, 2018
Pattern recognition of electromyography (EMG) signals can potentially improve the performance of myoelectric control for upper limb prostheses with respect to current clinical approaches based on direct control. However, the choice of features for cl...
Deep Learning Humans Artificial Limbs Hand Female Adult Electromyography Young Adult Male
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Attributes' Importance for Zero-Shot Pose-Classification Based on Wearable Sensors.

Sensors (Basel, Switzerland) Aug 1, 2018
This paper presents a simple yet effective method for improving the performance of zero-shot learning (ZSL). ZSL classifies instances of unseen classes, from which no training data is available, by utilizing the attributes of the classes. Conventiona...
Wearable Electronic Devices Posture Datasets as Topic Humans Machine Learning
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A Novel Teaching-Learning-Based Optimization with Error Correction and Cauchy Distribution for Path Planning of Unmanned Air Vehicle.

Computational intelligence and neuroscience Aug 1, 2018
Teaching-learning-based optimization (TLBO) algorithm is a novel heuristic method which simulates the teaching-learning phenomenon of a classroom. However, in the later period of evolution of the TLBO algorithm, the lower exploitation ability and the...
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Problem Solving Computer Simulation Humans Spatial Navigation Aircraft Machine Learning Heuristics
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An Orthopaedic Robotic-Assisted Rehabilitation Method of the Forearm in Virtual Reality Physiotherapy.

Journal of healthcare engineering Aug 1, 2018
The use of robotic rehabilitation in orthopaedics has been briefly explored. Despite its possible advantages, the use of computer-assisted physiotherapy of patients with musculoskeletal injuries has received little attention. In this paper, we detail...
Stress, Mechanical Upper Extremity Physical Therapy Modalities Stroke Rehabilitation Orthopedics Young Adult Wrist Joint Elbow Joint Adult Humans Equipment Design Feedback Computers Calibration Pilot Projects Female Aged Male User-Computer Interface Aged, 80 and over Middle Aged Virtual Reality Exercise Principal Component Analysis Robotics
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Deep Convolutional Neural Networks for Chest Diseases Detection.

Journal of healthcare engineering Aug 1, 2018
Chest diseases are very serious health problems in the life of people. These diseases include chronic obstructive pulmonary disease, pneumonia, asthma, tuberculosis, and lung diseases. The timely diagnosis of chest diseases is very important. Many me...
Radiography, Thoracic Respiratory Tract Diseases Algorithms Deep Learning Radiographic Image Interpretation, Computer-Assisted Humans
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Monitoring significant ST changes through deep learning.

Journal of electrocardiology Aug 1, 2018
Electrocardiography, Ambulatory Arrhythmias, Cardiac Clinical Alarms Risk Assessment Deep Learning Humans Algorithms Sensitivity and Specificity
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