AIMC Topic:
Data Mining

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Exploiting and assessing multi-source data for supervised biomedical named entity recognition.

Bioinformatics (Oxford, England) Jul 15, 2018
MOTIVATION: Recognition of biomedical entities from scientific text is a critical component of natural language processing and automated information extraction platforms. Modern named entity recognition approaches rely heavily on supervised machine l...
Supervised Machine Learning PubMed Data Mining Databases, Factual Natural Language Processing
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Applications of Deep Learning and Reinforcement Learning to Biological Data.

IEEE transactions on neural networks and learning systems Jun 1, 2018
Rapid advances in hardware-based technologies during the past decades have opened up new possibilities for life scientists to gather multimodal data in various application domains, such as omics, bioimaging, medical imaging, and (brain/body)-machine ...
Deep Learning Computational Biology Data Mining Humans Algorithms Reinforcement, Psychology
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Expanding a radiology lexicon using contextual patterns in radiology reports.

Journal of the American Medical Informatics Association : JAMIA Jun 1, 2018
OBJECTIVE: Distributional semantics algorithms, which learn vector space representations of words and phrases from large corpora, identify related terms based on contextual usage patterns. We hypothesize that distributional semantics can speed up lex...
Radiology Information Systems Vocabulary, Controlled Data Mining Semantics Databases, Factual Electronic Health Records Humans Software Natural Language Processing Algorithms Radiology
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LitPathExplorer: a confidence-based visual text analytics tool for exploring literature-enriched pathway models.

Bioinformatics (Oxford, England) Apr 15, 2018
MOTIVATION: Pathway models are valuable resources that help us understand the various mechanisms underpinning complex biological processes. Their curation is typically carried out through manual inspection of published scientific literature to find i...
Supervised Machine Learning Data Mining Computer Graphics Publications
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An attention-based BiLSTM-CRF approach to document-level chemical named entity recognition.

Bioinformatics (Oxford, England) Apr 15, 2018
MOTIVATION: In biomedical research, chemical is an important class of entities, and chemical named entity recognition (NER) is an important task in the field of biomedical information extraction. However, most popular chemical NER methods are based o...
Terminology as Topic Chemistry Biomedical Research Data Mining Neural Networks, Computer
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BIG DATA ANALYTICS AND PRECISION ANIMAL AGRICULTURE SYMPOSIUM: Machine learning and data mining advance predictive big data analysis in precision animal agriculture.

Journal of animal science Apr 14, 2018
Precision animal agriculture is poised to rise to prominence in the livestock enterprise in the domains of management, production, welfare, sustainability, health surveillance, and environmental footprint. Considerable progress has been made in the u...
Data Mining Livestock Agriculture Machine Learning Animals
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Big Data and Machine Learning in Health Care.

JAMA Apr 3, 2018
Data Mining Datasets as Topic Machine Learning Algorithms Humans Neural Networks, Computer
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Detecting Chemotherapeutic Skin Adverse Reactions in Social Health Networks Using Deep Learning.

JAMA oncology Apr 1, 2018
This study reports proof-of-principle early detection of chemotherapeutic-associated skin adverse drug reactions from social health networks using a deep learning–based signal generation pipeline to capture how patients describe cutaneous eruptions.
Product Surveillance, Postmarketing Social Networking Community Networks Data Mining Information Storage and Retrieval Skin Diseases Drug-Related Side Effects and Adverse Reactions Deep Learning Bias Humans Publications Antineoplastic Agents
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Use of text-mining methods to improve efficiency in the calculation of drug exposure to support pharmacoepidemiology studies.

International journal of epidemiology Apr 1, 2018
BACKGROUND: Efficient generation of structured dose instructions that enable researchers to calculate drug exposure is central to pharmacoepidemiology studies. Our aim was to design and test an algorithm to codify dose instructions, applied to the NH...
Humans Pharmacoepidemiology Scotland Prescriptions Electronic Health Records Natural Language Processing Data Mining National Health Programs
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Drug-drug interaction extraction via hierarchical RNNs on sequence and shortest dependency paths.

Bioinformatics (Oxford, England) Mar 1, 2018
MOTIVATION: Adverse events resulting from drug-drug interactions (DDI) pose a serious health issue. The ability to automatically extract DDIs described in the biomedical literature could further efforts for ongoing pharmacovigilance. Most of neural n...
Data Mining Pharmacovigilance Humans Publications Neural Networks, Computer Drug Interactions
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