AIMC Topic: Data Mining

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Molecular expression profiles of morphologically defined hippocampal neuron types: Empirical evidence and relational inferences.

Hippocampus Oct 9, 2019
Gene and protein expressions are key determinants of cellular function. Neurons are the building blocks of brain circuits, yet the relationship between their molecular identity and the spatial distribution of their dendritic inputs and axonal outputs...
Humans Transcriptome Data Mining Hippocampus Empirical Research Neurons Knowledge Bases
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Deep contextualized embeddings for quantifying the informative content in biomedical text summarization.

Computer methods and programs in biomedicine Oct 4, 2019
BACKGROUND AND OBJECTIVE: Capturing the context of text is a challenging task in biomedical text summarization. The objective of this research is to show how contextualized embeddings produced by a deep bidirectional language model can be utilized to...
Semantics Unified Medical Language System Algorithms Deep Learning Humans Data Mining Natural Language Processing Medical Informatics
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Extracting drug-drug interactions with hybrid bidirectional gated recurrent unit and graph convolutional network.

Journal of biomedical informatics Sep 27, 2019
Drug-drug interactions are critical in studying drug side effects. Thus, quickly and accurately identifying the relationship between drugs is necessary. Current methods for biomedical relation extraction include only the sequential information of sen...
Medical Informatics Humans Natural Language Processing Neural Networks, Computer Drug Interactions Data Mining
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Label Self-Advised Support Vector Machine (LSA-SVM)-Automated Classification of Foot Drop Rehabilitation Case Study.

Biosensors Sep 27, 2019
Stroke represents a major health problem in our society. One of the effects of stroke is foot drop. Foot drop (FD) is a weakness that occurs in specific muscles in the ankle and foot such as the anterior tibialis, gastrocnemius, plantaris and soleus ...
Humans Support Vector Machine Data Mining Peroneal Neuropathies
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Adversarial training based lattice LSTM for Chinese clinical named entity recognition.

Journal of biomedical informatics Sep 23, 2019
Clinical named entity recognition (CNER), which intends to automatically detect clinical entities in electronic health record (EHR), is a committed step for further clinical text mining. Recently, more and more deep learning models are used to Chines...
Medical Informatics Neural Networks, Computer Pattern Recognition, Automated Electronic Health Records China Humans Language Cluster Analysis Deep Learning Data Mining
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A two-stage deep learning approach for extracting entities and relationships from medical texts.

Journal of biomedical informatics Sep 20, 2019
This work presents a two-stage deep learning system for Named Entity Recognition (NER) and Relation Extraction (RE) from medical texts. These tasks are a crucial step to many natural language understanding applications in the biomedical domain. Autom...
Deep Learning Drug Interactions Clinical Coding Data Mining Humans Electronic Health Records
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Echocardiographic Data in Artificial Intelligence Research: Primer on Concepts of Big Data and Latent States.

JACC. Cardiovascular imaging Sep 18, 2019
Humans Data Mining Big Data Predictive Value of Tests Artificial Intelligence Echocardiography
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Ontology based mining of pathogen-disease associations from literature.

Journal of biomedical semantics Sep 18, 2019
BACKGROUND: Infectious diseases claim millions of lives especially in the developing countries each year. Identification of causative pathogens accurately and rapidly plays a key role in the success of treatment. To support infectious disease researc...
Communicable Diseases Data Mining Internet Biological Ontologies
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Big Data and Artificial Intelligence Modeling for Drug Discovery.

Annual review of pharmacology and toxicology Sep 13, 2019
Due to the massive data sets available for drug candidates, modern drug discovery has advanced to the big data era. Central to this shift is the development of artificial intelligence approaches to implementing innovative modeling based on the dynami...
Humans Drug Discovery Deep Learning Big Data Artificial Intelligence Animals Data Mining Models, Theoretical Drug Development
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Detecting substance-related problems in narrative investigation summaries of child abuse and neglect using text mining and machine learning.

Child abuse & neglect Sep 12, 2019
BACKGROUND: State child welfare agencies collect, store, and manage vast amounts of data. However, they often do not have the right data, or the data is problematic or difficult to inform strategies to improve services and system processes. Considera...
Child Protective Services Child Abuse Child Welfare Computer Simulation Child Feasibility Studies Data Mining Narration Algorithms Mental Disorders Humans Machine Learning
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