AIMC Journal:
Journal of biomedical informatics

Showing 531 to 540 of 655 articles

An unsupervised machine learning model for discovering latent infectious diseases using social media data.

Journal of biomedical informatics Dec 26, 2016
INTRODUCTION: The authors of this work propose an unsupervised machine learning model that has the ability to identify real-world latent infectious diseases by mining social media data. In this study, a latent infectious disease is defined as a commu...
Unsupervised Machine Learning Data Mining Social Networking Public Health Social Media Humans Communicable Diseases
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Septic shock prediction for ICU patients via coupled HMM walking on sequential contrast patterns.

Journal of biomedical informatics Dec 21, 2016
BACKGROUND AND OBJECTIVE: Critical care patient events like sepsis or septic shock in intensive care units (ICUs) are dangerous complications which can cause multiple organ failures and eventual death. Preventive prediction of such events will allow ...
Intensive Care Units Risk Assessment Machine Learning Forecasting Blood Pressure Heart Rate Shock, Septic Multiple Organ Failure Humans Critical Care
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Developing the Quantitative Histopathology Image Ontology (QHIO): A case study using the hot spot detection problem.

Journal of biomedical informatics Dec 18, 2016
Interoperability across data sets is a key challenge for quantitative histopathological imaging. There is a need for an ontology that can support effective merging of pathological image data with associated clinical and demographic data. To foster or...
Pathology Histology Reproducibility of Results Biological Ontologies Humans
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Accuracy of an automated knowledge base for identifying drug adverse reactions.

Journal of biomedical informatics Dec 16, 2016
INTRODUCTION: Drug safety researchers seek to know the degree of certainty with which a particular drug is associated with an adverse drug reaction. There are different sources of information used in pharmacovigilance to identify, evaluate, and disse...
Electronic Data Processing Adverse Drug Reaction Reporting Systems Knowledge Bases Pharmacovigilance Humans Drug-Related Side Effects and Adverse Reactions
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Learning from heterogeneous temporal data in electronic health records.

Journal of biomedical informatics Dec 2, 2016
Electronic health records contain large amounts of longitudinal data that are valuable for biomedical informatics research. The application of machine learning is a promising alternative to manual analysis of such data. However, the complex structure...
Electronic Health Records Databases, Factual Machine Learning Algorithms Cluster Analysis
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Prediction of microRNAs involved in immune system diseases through network based features.

Journal of biomedical informatics Nov 15, 2016
MicroRNAs are a class of small non-coding regulatory RNA molecules that modulate the expression of several genes at post-transcriptional level and play a vital role in disease pathogenesis. Recent research shows that a range of miRNAs are involved in...
Forecasting Humans Immune System Diseases Computational Biology Support Vector Machine MicroRNAs
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Can multilinguality improve Biomedical Word Sense Disambiguation?

Journal of biomedical informatics Nov 2, 2016
Ambiguity in the biomedical domain represents a major issue when performing Natural Language Processing tasks over the huge amount of available information in the field. For this reason, Word Sense Disambiguation is critical for achieving accurate sy...
Algorithms Natural Language Processing Knowledge Bases Data Mining Humans Unified Medical Language System
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Evaluating semantic similarity between Chinese biomedical terms through multiple ontologies with score normalization: An initial study.

Journal of biomedical informatics Nov 1, 2016
BACKGROUND: Semantic similarity estimation significantly promotes the understanding of natural language resources and supports medical decision making. Previous studies have investigated semantic similarity and relatedness estimation between biomedic...
Natural Language Processing Data Mining Systematized Nomenclature of Medicine Biological Ontologies Language Humans Semantics China
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Extractive text summarization system to aid data extraction from full text in systematic review development.

Journal of biomedical informatics Oct 27, 2016
OBJECTIVES: Extracting data from publication reports is a standard process in systematic review (SR) development. However, the data extraction process still relies too much on manual effort which is slow, costly, and subject to human error. In this s...
Systematic Reviews as Topic Humans Data Mining Publications Language Machine Learning Natural Language Processing
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Ambient intelligence for health environments.

Journal of biomedical informatics Oct 18, 2016
Robotic Surgical Procedures Environment Artificial Intelligence Monitoring, Physiologic Wireless Technology Humans
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