AIMC Topic:
Data Mining

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Sieve-based coreference resolution enhances semi-supervised learning model for chemical-induced disease relation extraction.

Database : the journal of biological databases and curation Jul 1, 2016
The BioCreative V chemical-disease relation (CDR) track was proposed to accelerate the progress of text mining in facilitating integrative understanding of chemicals, diseases and their relations. In this article, we describe an extension of our syst...
Humans Animals Data Mining Chemically-Induced Disorders Models, Theoretical Support Vector Machine
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The power of data mining in diagnosis of childhood pneumonia.

Journal of the Royal Society, Interface Jul 1, 2016
Childhood pneumonia is the leading cause of death of children under the age of 5 years globally. Diagnostic information on the presence of infection, severity and aetiology (bacterial versus viral) is crucial for appropriate treatment. However, the d...
Adolescent Child, Preschool Male Infant Humans C-Reactive Protein Child Machine Learning Pneumonia Biomarkers Data Mining Female Respiratory Sounds Infant, Newborn
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Navigating data via machine learning.

Modern healthcare May 2, 2016
Statistics as Topic Cost Savings Machine Learning Health Facilities Data Mining Quality of Health Care
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Statistical Inference for Data Adaptive Target Parameters.

The international journal of biostatistics May 1, 2016
Consider one observes n i.i.d. copies of a random variable with a probability distribution that is known to be an element of a particular statistical model. In order to define our statistical target we partition the sample in V equal size sub-samples...
Machine Learning Models, Statistical Biostatistics Data Interpretation, Statistical Data Mining
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Big Data.

Journal of the American College of Radiology : JACR Mar 1, 2016
Metadata Radiology Information Systems Data Mining Datasets as Topic Machine Learning Diagnostic Imaging Radiology Meta-Analysis as Topic
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[Short Text Classification of EMR Based on Entities and Dependency Parser].

Zhongguo yi liao qi xie za zhi = Chinese journal of medical instrumentation Jan 1, 2016
Nowadays, text classification and text mining of Electronic Medical Record (EMR) have become the basis of the Big Data research in biomedical fields. This paper proposes a method using entity dictionaries and dependency parser as the feature to do th...
Data Mining Electronic Health Records Natural Language Processing Software
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Identifying Outliers in Data from Patient Record.

Studies in health technology and informatics Jan 1, 2016
It is important for health services to be able to identify potential outliers with minimal effort as part of their daily evaluation of care data from patient record. This study evaluates the suitability of three statistical methods for identifying nu...
Data Mining Switzerland Nursing Process Workload Electronic Health Records Natural Language Processing
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Automatic Analysis of Critical Incident Reports: Requirements and Use Cases.

Studies in health technology and informatics Jan 1, 2016
Increasingly, critical incident reports are used as a means to increase patient safety and quality of care. The entire potential of these sources of experiential knowledge remains often unconsidered since retrieval and analysis is difficult and time-...
Semantics Humans Natural Language Processing Linguistics Patient Safety Medical Errors Data Mining
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Extraction of UMLS® Concepts Using Apache cTAKES™ for German Language.

Studies in health technology and informatics Jan 1, 2016
Automatic information extraction of medical concepts and classification with semantic standards from medical reports is useful for standardization and for clinical research. This paper presents an approach for an UMLS concept extraction with a custom...
Unified Medical Language System Information Storage and Retrieval Germany Electronic Health Records Natural Language Processing Humans Data Mining
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Datamining with Ontologies.

Methods in molecular biology (Clifton, N.J.) Jan 1, 2016
The use of ontologies has increased rapidly over the past decade and they now provide a key component of most major databases in biology and biomedicine. Consequently, datamining over these databases benefits from considering the specific structure a...
Databases, Factual Computational Biology Data Mining Biological Ontologies Algorithms Semantic Web
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