AIMC Topic: Data Mining

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Features spaces and a learning system for structural-temporal data, and their application on a use case of real-time communication network validation data.

PloS one Feb 6, 2020
The service quality and system dependability of real-time communication networks strongly depends on the analysis of monitored data, to identify concrete problems and their causes. Many of these can be described by either their structural or temporal...
Validation Studies as Topic Humans Datasets as Topic Neural Networks, Computer Machine Learning Data Mining Data Accuracy Computer Systems Reproducibility of Results Time Factors Communication Mobile Applications Deep Learning
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A neural network-based joint learning approach for biomedical entity and relation extraction from biomedical literature.

Journal of biomedical informatics Feb 4, 2020
Recently joint modeling methods of entity and relation exhibit more promising results than traditional pipelined methods in general domain. However, they are inappropriate for the biomedical domain due to numerous overlapping relations in biomedical ...
Research Design Publications Data Mining Neural Networks, Computer
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The Emerging Role of Radiomics in COPD and Lung Cancer.

Respiration; international review of thoracic diseases Jan 28, 2020
Medical imaging plays a key role in evaluating and monitoring lung diseases such as chronic obstructive pulmonary disease (COPD) and lung cancer. The application of artificial intelligence in medical imaging has transformed medical images into mineab...
Artificial Intelligence Machine Learning Prognosis Pulmonary Disease, Chronic Obstructive Decision Support Systems, Clinical Image Processing, Computer-Assisted Humans Neoplasm Staging Lung Neoplasms Workflow Treatment Outcome Data Mining
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Quantitative knowledge presentation models of traditional Chinese medicine (TCM): A review.

Artificial intelligence in medicine Jan 24, 2020
Modern computer technology sheds light on new ways of innovating Traditional Chinese Medicine (TCM). One method that gets increasing attention is the quantitative research method, which makes use of data mining and artificial intelligence technology ...
Humans Medicine, Chinese Traditional Artificial Intelligence Data Mining Biomedical Research
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Opportunities and Challenges of Disruptive Innovation in Medicine Using Artificial Intelligence.

The American journal of medicine Jan 22, 2020
Confidentiality Data Mining Inventions Machine Learning Diagnosis, Computer-Assisted Disruptive Technology Computer Security Therapy, Computer-Assisted Blockchain Humans Artificial Intelligence
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Application of data mining in a cohort of Italian subjects undergoing myocardial perfusion imaging at an academic medical center.

Computer methods and programs in biomedicine Jan 16, 2020
INTRODUCTION: Coronary artery disease (CAD) is still one of the primary causes of death in the developed countries. Stress single-photon emission computed tomography is used to evaluate myocardial perfusion and ventricular function in patients with s...
Academic Medical Centers Tomography, Emission-Computed, Single-Photon Myocardial Perfusion Imaging Coronary Artery Disease Supervised Machine Learning Data Mining Bayes Theorem Humans Sensitivity and Specificity Female Male Italy Aged Middle Aged
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pVACtools: A Computational Toolkit to Identify and Visualize Cancer Neoantigens.

Cancer immunology research Jan 6, 2020
Identification of neoantigens is a critical step in predicting response to checkpoint blockade therapy and design of personalized cancer vaccines. This is a cross-disciplinary challenge, involving genomics, proteomics, immunology, and computational a...
Humans Neural Networks, Computer Immunotherapy Cancer Vaccines Algorithms Antigens, Neoplasm Neoplasms Mutation Artificial Intelligence Computational Biology Data Mining Software
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Evolving knowledge graph similarity for supervised learning in complex biomedical domains.

BMC bioinformatics Jan 3, 2020
BACKGROUND: In recent years, biomedical ontologies have become important for describing existing biological knowledge in the form of knowledge graphs. Data mining approaches that work with knowledge graphs have been proposed, but they are based on ve...
Knowledge Bases Humans Data Mining Semantics Algorithms Biological Ontologies Supervised Machine Learning Gene Ontology
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Topic-informed neural approach for biomedical event extraction.

Artificial intelligence in medicine Dec 30, 2019
As a crucial step of biological event extraction, event trigger identification has attracted much attention in recent years. Deep representation methods, which have the superiorities of less feature engineering and end-to-end training, show better pe...
Biomedical Research Humans Deep Learning Neural Networks, Computer Data Mining
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Biomedical named entity recognition using deep neural networks with contextual information.

BMC bioinformatics Dec 27, 2019
BACKGROUND: In biomedical text mining, named entity recognition (NER) is an important task used to extract information from biomedical articles. Previously proposed methods for NER are dictionary- or rule-based methods and machine learning approaches...
Neural Networks, Computer Data Mining
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