AIMC Journal:
Journal of biomedical informatics

Showing 571 to 580 of 657 articles

Classification of clinically useful sentences in clinical evidence resources.

Journal of biomedical informatics Jan 13, 2016
UNLABELLED: Most patient care questions raised by clinicians can be answered by online clinical knowledge resources. However, important barriers still challenge the use of these resources at the point of care.
Decision Support Systems, Clinical Natural Language Processing Bayes Theorem Humans Algorithms Language MEDLINE Terminology as Topic Unified Medical Language System Supervised Machine Learning Information Storage and Retrieval Semantics
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Spark, an application based on Serendipitous Knowledge Discovery.

Journal of biomedical informatics Dec 28, 2015
Findings from information-seeking behavior research can inform application development. In this report we provide a system description of Spark, an application based on findings from Serendipitous Knowledge Discovery studies and data structures known...
Software User-Computer Interface Knowledge Bases Semantics Information Seeking Behavior Models, Theoretical Internet PubMed Medical Informatics Applications
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An unsupervised learning method to identify reference intervals from a clinical database.

Journal of biomedical informatics Dec 19, 2015
Reference intervals are critical for the interpretation of laboratory results. The development of reference intervals using traditional methods is time consuming and costly. An alternative approach, known as an a posteriori method, requires an expert...
Clinical Laboratory Techniques Unsupervised Machine Learning Humans Reference Values Databases, Factual Medical Informatics
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Stabilizing l1-norm prediction models by supervised feature grouping.

Journal of biomedical informatics Dec 9, 2015
Emerging Electronic Medical Records (EMRs) have reformed the modern healthcare. These records have great potential to be used for building clinical prediction models. However, a problem in using them is their high dimensionality. Since a lot of infor...
Humans Electronic Health Records Models, Statistical Supervised Machine Learning Medical Informatics
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Gene and sample selection using T-score with sample selection.

Journal of biomedical informatics Nov 7, 2015
Gene selection from high-dimensional microarray gene-expression data is statistically a challenging problem. Filter approaches to gene selection have been popular because of their simplicity, efficiency, and accuracy. Due to small sample size, all sa...
Databases, Genetic Algorithms Gene Expression Profiling Computational Biology Logistic Models Support Vector Machine
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Pharmacovigilance through the development of text mining and natural language processing techniques.

Journal of biomedical informatics Nov 4, 2015
Pharmacovigilance Natural Language Processing Data Mining
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Practical applications for natural language processing in clinical research: The 2014 i2b2/UTHealth shared tasks.

Journal of biomedical informatics Oct 24, 2015
Natural Language Processing Information Storage and Retrieval Pattern Recognition, Automated Terminology as Topic Medical Record Linkage Vocabulary, Controlled Electronic Health Records Biomedical Research Narration Machine Learning
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Creation of a new longitudinal corpus of clinical narratives.

Journal of biomedical informatics Oct 1, 2015
The 2014 i2b2/UTHealth Natural Language Processing (NLP) shared task featured a new longitudinal corpus of 1304 records representing 296 diabetic patients. The corpus contains three cohorts: patients who have a diagnosis of coronary artery disease (C...
Boston Computer Security Vocabulary, Controlled Diabetes Complications Coronary Artery Disease Confidentiality Data Mining Risk Assessment Aged Comorbidity Male Incidence Middle Aged Humans Cohort Studies Electronic Health Records Narration Female Natural Language Processing
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A context-aware approach for progression tracking of medical concepts in electronic medical records.

Journal of biomedical informatics Sep 30, 2015
Electronic medical records (EMRs) for diabetic patients contain information about heart disease risk factors such as high blood pressure, cholesterol levels, and smoking status. Discovering the described risk factors and tracking their progression ov...
Natural Language Processing Confidentiality Data Mining Aged Humans Middle Aged Longitudinal Studies Male Electronic Health Records Risk Assessment Taiwan Cardiovascular Diseases Female Disease Progression Narration Comorbidity Incidence Diabetes Complications Pattern Recognition, Automated Cohort Studies Computer Security Vocabulary, Controlled
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Text mining for pharmacovigilance: Using machine learning for drug name recognition and drug-drug interaction extraction and classification.

Journal of biomedical informatics Sep 30, 2015
Pharmacovigilance (PV) is defined by the World Health Organization as the science and activities related to the detection, assessment, understanding and prevention of adverse effects or any other drug-related problem. An essential aspect in PV is to ...
Data Mining Machine Learning Pharmacovigilance Drug Interactions
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