AIMC Topic:
Data Mining
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Decision Support Systems in Health Care - Velocity of Apriori Algorithm.
Studies in health technology and informatics
Jan 1, 2017
The amount of stored data in health information systems can reach tera- and petabytes and application of specific algorithms in the field of data mining makes finding useful information suitable for making quality business decisions. A frequently use...
Exploring convolutional neural networks for drug-drug interaction extraction.
Database : the journal of biological databases and curation
Jan 1, 2017
Drug-drug interaction (DDI), which is a specific type of adverse drug reaction, occurs when a drug influences the level or activity of another drug. Natural language processing techniques can provide health-care professionals with a novel way of redu...
Machine Learning Techniques in Exploring MicroRNA Gene Discovery, Targets, and Functions.
Methods in molecular biology (Clifton, N.J.)
Jan 1, 2017
In recent years, the role of miRNAs in post-transcriptional gene regulation has provided new insights into the understanding of several types of cancers and neurological disorders. Although miRNA research has gathered great momentum since its discove...
Acronym Disambiguation in Spanish Electronic Health Narratives Using Machine Learning Techniques.
Studies in health technology and informatics
Jan 1, 2017
Electronic Health Records (EHRs) are now being massively used in hospitals what has motivated current developments of new methods to process clinical narratives (unstructured data) making it possible to perform context-based searches. Current approac...
BELMiner: adapting a rule-based relation extraction system to extract biological expression language statements from bio-medical literature evidence sentences.
Database : the journal of biological databases and curation
Jan 1, 2017
UNLABELLED: Extracting meaningful relationships with semantic significance from biomedical literature is often a challenging task. BioCreative V track4 challenge for the first time has organized a comprehensive shared task to test the robustness of t...
Gene Ontology: Pitfalls, Biases, and Remedies.
Methods in molecular biology (Clifton, N.J.)
Jan 1, 2017
The Gene Ontology (GO) is a formidable resource, but there are several considerations about it that are essential to understand the data and interpret it correctly. The GO is sufficiently simple that it can be used without deep understanding of its s...
Text Mining to Support Gene Ontology Curation and Vice Versa.
Methods in molecular biology (Clifton, N.J.)
Jan 1, 2017
In this chapter, we explain how text mining can support the curation of molecular biology databases dealing with protein functions. We also show how curated data can play a disruptive role in the developments of text mining methods. We review a decad...
Adapting to Artificial Intelligence: Radiologists and Pathologists as Information Specialists.
JAMA
Dec 13, 2016
Detection of mental stress due to oral academic examination via ultra-short-term HRV analysis.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Aug 1, 2016
Mental stress may cause cognitive dysfunctions, cardiovascular disorders and depression. Mental stress detection via short-term Heart Rate Variability (HRV) analysis has been widely explored in the last years, while ultra-short term (less than 5 minu...
Learning approaches to improve prediction of drug sensitivity in breast cancer patients.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Aug 1, 2016
Predicting drug response to cancer disease is an important problem in modern clinical oncology that attracted increasing recent attention from various domains such as computational biology, machine learning, and data mining. Cancer patients respond d...
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