AIMC Topic: Datasets as Topic

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Entity recognition in Chinese clinical text using attention-based CNN-LSTM-CRF.

BMC medical informatics and decision making Apr 4, 2019
BACKGROUND: Clinical entity recognition as a fundamental task of clinical text processing has been attracted a great deal of attention during the last decade. However, most studies focus on clinical text in English rather than other languages. Recent...
Algorithms Electronic Health Records Natural Language Processing Datasets as Topic China Humans Neural Networks, Computer
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Extracting health-related causality from twitter messages using natural language processing.

BMC medical informatics and decision making Apr 4, 2019
BACKGROUND: Twitter messages (tweets) contain various types of topics in our daily life, which include health-related topics. Analysis of health-related tweets would help us understand health conditions and concerns encountered in our daily lives. In...
Causality Social Media Natural Language Processing Humans Stress, Psychological Information Storage and Retrieval Sleep Initiation and Maintenance Disorders Text Messaging Headache Datasets as Topic
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Simple Linear Support Vector Machine Classifier Can Distinguish Impaired Glucose Tolerance Versus Type 2 Diabetes Using a Reduced Set of CGM-Based Glycemic Variability Indices.

Journal of diabetes science and technology Mar 31, 2019
BACKGROUND: Many glycemic variability (GV) indices exist in the literature. In previous works, we demonstrated that a set of GV indices, extracted from continuous glucose monitoring (CGM) data, can distinguish between stages of diabetes progression. ...
Health Status Indicators Blood Glucose Algorithms Glucose Intolerance Glycemic Control Female Diagnosis, Differential Data Interpretation, Statistical Male Aged Predictive Value of Tests Diabetes Mellitus, Type 2 Humans Middle Aged Reproducibility of Results Blood Glucose Self-Monitoring Adult Support Vector Machine Datasets as Topic
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Artificial intelligence to diagnose meniscus tears on MRI.

Diagnostic and interventional imaging Mar 28, 2019
PURPOSE: The purpose of this study was to build and evaluate a high-performance algorithm to detect and characterize the presence of a meniscus tear on magnetic resonance imaging examination (MRI) of the knee.
Algorithms Magnetic Resonance Imaging Tibial Meniscus Injuries Datasets as Topic Humans Neural Networks, Computer
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Asynchronous event-based sampling data for impulsive protocol on consensus of non-linear multi-agent systems.

Neural networks : the official journal of the International Neural Network Society Mar 27, 2019
In this paper, we discuss the consensus problem of non-linear multi-agent systems where an impulsive protocol with event-based asynchronously sampled data is adopted. Systems that communicate by data asynchronously sampled in limited time intervals a...
Neural Networks, Computer Datasets as Topic Selection Bias
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Kidney cortex segmentation in 2D CT with U-Nets ensemble aggregation.

Diagnostic and interventional imaging Mar 27, 2019
PURPOSE: This work presents our contribution to one of the data challenges organized by the French Radiology Society during the Journées Francophones de Radiologie. This challenge consisted in segmenting the kidney cortex from coronal computed tomogr...
Humans Tomography, X-Ray Computed Datasets as Topic Kidney Cortex Artificial Intelligence Algorithms
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Diagnosis of focal liver lesions from ultrasound using deep learning.

Diagnostic and interventional imaging Mar 27, 2019
PURPOSE: The purpose of this study was to create an algorithm that simultaneously detects and characterizes (benign vs. malignant) focal liver lesion (FLL) using deep learning.
Datasets as Topic Liver Neoplasms Liver Humans Deep Learning Ultrasonography Algorithms
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Detection and characterization of MRI breast lesions using deep learning.

Diagnostic and interventional imaging Mar 26, 2019
PURPOSE: The purpose of this study was to assess the potential of a deep learning model to discriminate between benign and malignant breast lesions using magnetic resonance imaging (MRI) and characterize different histological subtypes of breast lesi...
Gadolinium Breast Datasets as Topic Contrast Media Magnetic Resonance Imaging Humans Algorithms Breast Neoplasms Deep Learning Female
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Automatic knee meniscus tear detection and orientation classification with Mask-RCNN.

Diagnostic and interventional imaging Mar 23, 2019
PURPOSE: This work presents our contribution to a data challenge organized by the French Radiology Society during the Journées Francophones de Radiologie in October 2018. This challenge consisted in classifying MR images of the knee with respect to t...
Humans Neural Networks, Computer Tibial Meniscus Injuries Magnetic Resonance Imaging Datasets as Topic
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Evolution of Deep Convolutional Neural Networks Using Cartesian Genetic Programming.

Evolutionary computation Mar 22, 2019
The convolutional neural network (CNN), one of the deep learning models, has demonstrated outstanding performance in a variety of computer vision tasks. However, as the network architectures become deeper and more complex, designing CNN architectures...
Neural Networks, Computer Algorithms Biological Evolution Deep Learning Datasets as Topic
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