AIMC Topic: Data Mining

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Data-driven modeling and prediction of blood glucose dynamics: Machine learning applications in type 1 diabetes.

Artificial intelligence in medicine Jul 26, 2019
BACKGROUND: Diabetes mellitus (DM) is a metabolic disorder that causes abnormal blood glucose (BG) regulation that might result in short and long-term health complications and even death if not properly managed. Currently, there is no cure for diabet...
Stress, Psychological Wearable Electronic Devices Blood Glucose Insulin Mobile Applications Diabetes Mellitus, Type 1 Machine Learning Diet Exercise Humans Blood Glucose Self-Monitoring Feeding Behavior Hypoglycemic Agents Patient-Specific Modeling Models, Biological Data Mining
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A new machine learning technique for an accurate diagnosis of coronary artery disease.

Computer methods and programs in biomedicine Jul 24, 2019
BACKGROUND AND OBJECTIVE: Coronary artery disease (CAD) is one of the commonest diseases around the world. An early and accurate diagnosis of CAD allows a timely administration of appropriate treatment and helps to reduce the mortality. Herein, we de...
Data Mining Models, Cardiovascular Humans Male Machine Learning Algorithms Diagnosis, Computer-Assisted Support Vector Machine Databases, Factual Coronary Artery Disease Female
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A comparison of three data mining time series models in prediction of monthly brucellosis surveillance data.

Zoonoses and public health Jul 15, 2019
The early and accurately detection of brucellosis incidence change is of great importance for implementing brucellosis prevention strategic health planning. The present study investigated and compared the performance of the three data mining techniqu...
Data Mining Zoonoses Models, Statistical Population Surveillance Iran Brucellosis Support Vector Machine Humans Animals
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Dual CNN for Relation Extraction with Knowledge-Based Attention and Word Embeddings.

Computational intelligence and neuroscience Jul 14, 2019
Relation extraction is the underlying critical task of textual understanding. However, the existing methods currently have defects in instance selection and lack background knowledge for entity recognition. In this paper, we propose a knowledge-based...
Humans Knowledge Bases Neural Networks, Computer Data Mining Algorithms Attention
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Investigating the transferring capability of capsule networks for text classification.

Neural networks : the official journal of the International Neural Network Society Jul 8, 2019
Text classification has been attracting increasing attention with the growth of textual data created on the Internet. Great progress has been made by deep neural networks for domains where a large amount of labeled training data is available. However...
Neural Networks, Computer Data Mining Data Compression
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Towards computerized diagnosis of neurological stance disorders: data mining and machine learning of posturography and sway.

Journal of neurology Jul 8, 2019
We perform classification, ranking and mapping of body sway parameters from static posturography data of patients using recent machine-learning and data-mining techniques. Body sway is measured in 293 individuals with the clinical diagnoses of acute ...
Humans Machine Learning Diagnosis, Computer-Assisted Cohort Studies Postural Balance Data Mining Female Adult Male Nervous System Diseases
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Cellular frustration algorithms for anomaly detection applications.

PloS one Jul 8, 2019
Cellular frustrated models have been developed to describe how the adaptive immune system works. They are composed by independent agents that continuously pair and unpair depending on the information that one sub-set of these agents display. The emer...
Adaptive Immunity Humans Artificial Intelligence Models, Biological Algorithms T-Lymphocytes Data Mining Support Vector Machine Immune System Models, Statistical
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Machine learning-based coronary artery disease diagnosis: A comprehensive review.

Computers in biology and medicine Jul 4, 2019
Coronary artery disease (CAD) is the most common cardiovascular disease (CVD) and often leads to a heart attack. It annually causes millions of deaths and billions of dollars in financial losses worldwide. Angiography, which is invasive and risky, is...
Coronary Vessels Coronary Angiography Coronary Artery Disease Data Mining Machine Learning Algorithms Databases, Factual Tomography, X-Ray Computed Diagnosis, Computer-Assisted Electrocardiography Humans
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Unsupervised word embeddings capture latent knowledge from materials science literature.

Nature Jul 3, 2019
The overwhelming majority of scientific knowledge is published as text, which is difficult to analyse by either traditional statistical analysis or modern machine learning methods. By contrast, the main source of machine-interpretable data for the ma...
Electric Conductivity Materials Science Terminology as Topic Magnetics Knowledge Natural Language Processing Reproducibility of Results Iron Research Data Mining Lithium Electrodes Temperature Research Report Unsupervised Machine Learning Semantics
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Neural Multimodal Cooperative Learning Toward Micro-Video Understanding.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Jul 1, 2019
The prevailing characteristics of micro-videos result in the less descriptive power of each modality. The micro-video representations, several pioneer efforts proposed, are limited in implicitly exploring the consistency between different modality in...
Machine Learning Dogs Data Mining Video Recording Semantics Algorithms Animals Image Processing, Computer-Assisted
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