AIMC Journal:
Journal of biomedical informatics

Showing 461 to 470 of 650 articles

Medical concept normalization in social media posts with recurrent neural networks.

Journal of biomedical informatics Jun 12, 2018
Text mining of scientific libraries and social media has already proven itself as a reliable tool for drug repurposing and hypothesis generation. The task of mapping a disease mention to a concept in a controlled vocabulary, typically to the standard...
Linguistics Social Networking Pharmaceutical Preparations Data Mining Probability Medical Informatics Semantics Unified Medical Language System Neural Networks, Computer Social Media Natural Language Processing
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Modeling asynchronous event sequences with RNNs.

Journal of biomedical informatics Jun 5, 2018
Sequences of events have often been modeled with computational techniques, but typical preprocessing steps and problem settings do not explicitly address the ramifications of timestamped events. Clinical data, such as is found in electronic health re...
Neural Networks, Computer Computer Simulation Intensive Care Units Humans Child, Preschool Child Recurrence Electronic Health Records Asthma Infant
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Benchmarking deep learning models on large healthcare datasets.

Journal of biomedical informatics Jun 5, 2018
Deep learning models (aka Deep Neural Networks) have revolutionized many fields including computer vision, natural language processing, speech recognition, and is being increasingly used in clinical healthcare applications. However, few works exist w...
Female International Classification of Diseases Aged Length of Stay Aged, 80 and over Hospital Mortality Male Benchmarking Middle Aged Forecasting Humans Deep Learning Databases, Factual Neural Networks, Computer Intensive Care Units Algorithms
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Evaluation of Natural Language Processing (NLP) systems to annotate drug product labeling with MedDRA terminology.

Journal of biomedical informatics Jun 1, 2018
INTRODUCTION: The FDA Adverse Event Reporting System (FAERS) is a primary data source for identifying unlabeled adverse events (AEs) in a drug or biologic drug product's postmarketing phase. Many AE reports must be reviewed by drug safety experts to ...
Humans United States Pharmacovigilance Terminology as Topic Adverse Drug Reaction Reporting Systems Drug Labeling Natural Language Processing Drug-Related Side Effects and Adverse Reactions United States Food and Drug Administration
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MeSH qualifiers, publication types and relation occurrence frequency are also useful for a better sentence-level extraction of biomedical relations.

Journal of biomedical informatics May 29, 2018
Neural Networks, Computer Data Mining Research Design Language Surgical Mesh
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Automated depression analysis using convolutional neural networks from speech.

Journal of biomedical informatics May 29, 2018
To help clinicians to efficiently diagnose the severity of a person's depression, the affective computing community and the artificial intelligence field have shown a growing interest in designing automated systems. The speech features have useful in...
Neural Networks, Computer Diagnosis, Computer-Assisted Humans Speech Deep Learning Depression
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Complex overlapping concepts: An effective auditing methodology for families of similarly structured BioPortal ontologies.

Journal of biomedical informatics May 28, 2018
In previous research, we have demonstrated for a number of ontologies that structurally complex concepts (for different definitions of "complex") in an ontology are more likely to exhibit errors than other concepts. Thus, such complex concepts often ...
Vocabulary, Controlled National Cancer Institute (U.S.) Systematized Nomenclature of Medicine Biological Ontologies Electronic Data Processing United States
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Simulation of patient flow in multiple healthcare units using process and data mining techniques for model identification.

Journal of biomedical informatics May 16, 2018
INTRODUCTION: An approach to building a hybrid simulation of patient flow is introduced with a combination of data-driven methods for automation of model identification. The approach is described with a conceptual framework and basic methods for comb...
Humans Machine Learning Computer Simulation Russia Critical Pathways Data Mining Electronic Health Records Cloud Computing Acute Coronary Syndrome Cluster Analysis Medical Informatics Workflow
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Exploiting semantic patterns over biomedical knowledge graphs for predicting treatment and causative relations.

Journal of biomedical informatics May 12, 2018
BACKGROUND: Identifying new potential treatment options for medical conditions that cause human disease burden is a central task of biomedical research. Since all candidate drugs cannot be tested with animal and clinical trials, in vitro approaches a...
Unified Medical Language System Vocabulary, Controlled Knowledge Medical Informatics Semantics Humans Pattern Recognition, Automated Drug Repositioning Natural Language Processing Biomedical Research Probability Regression Analysis Machine Learning Decision Trees Algorithms Databases, Factual
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An effective neural model extracting document level chemical-induced disease relations from biomedical literature.

Journal of biomedical informatics May 8, 2018
Since identifying relations between chemicals and diseases (CDR) are important for biomedical research and healthcare, the challenge proposed by BioCreative V requires automatically mining causal relationships between chemicals and diseases which may...
Neural Networks, Computer Data Mining Causality MEDLINE Publications Chemically-Induced Disorders
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