AIMC Topic: Information Storage and Retrieval

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Development of a global infectious disease activity database using natural language processing, machine learning, and human expertise.

Journal of the American Medical Informatics Association : JAMIA Nov 1, 2019
OBJECTIVE: We assessed whether machine learning can be utilized to allow efficient extraction of infectious disease activity information from online media reports.
User-Computer Interface Population Surveillance Natural Language Processing Global Health Disease Outbreaks Information Storage and Retrieval Humans Machine Learning Communicable Diseases Databases, Factual
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Cost-aware active learning for named entity recognition in clinical text.

Journal of the American Medical Informatics Association : JAMIA Nov 1, 2019
OBJECTIVE: Active Learning (AL) attempts to reduce annotation cost (ie, time) by selecting the most informative examples for annotation. Most approaches tacitly (and unrealistically) assume that the cost for annotating each sample is identical. This ...
Computer Simulation Electronic Health Records Big Data Humans Algorithms Natural Language Processing Models, Economic Information Storage and Retrieval
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Enhancing clinical concept extraction with contextual embeddings.

Journal of the American Medical Informatics Association : JAMIA Nov 1, 2019
OBJECTIVE: Neural network-based representations ("embeddings") have dramatically advanced natural language processing (NLP) tasks, including clinical NLP tasks such as concept extraction. Recently, however, more advanced embedding methods and represe...
Natural Language Processing Databases, Factual Humans Information Storage and Retrieval Big Data Public Reporting of Healthcare Data Neural Networks, Computer
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Toward a clinical text encoder: pretraining for clinical natural language processing with applications to substance misuse.

Journal of the American Medical Informatics Association : JAMIA Nov 1, 2019
OBJECTIVE: Our objective is to develop algorithms for encoding clinical text into representations that can be used for a variety of phenotyping tasks.
Algorithms Electronic Health Records Deep Learning Humans Neural Networks, Computer Datasets as Topic Information Storage and Retrieval Clinical Coding Big Data Natural Language Processing Substance-Related Disorders
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[Automatic keyword retrieval from clinical texts: an application of natural language processing to massive data of Chilean suspected diagnosis].

Revista medica de Chile Oct 1, 2019
BACKGROUND: Free-text imposes a challenge in health data analysis since the lack of structure makes the extraction and integration of information difficult, particularly in the case of massive data. An appropriate machine-interpretation of electronic...
Diagnostic Techniques and Procedures Electronic Data Processing Medical Records Medical Informatics Computing Referral and Consultation Medicine Information Storage and Retrieval Reproducibility of Results Time Factors Natural Language Processing Humans Chile Data Mining
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Evaluation of the Fast Healthcare Interoperability Resources (FHIR) Standard for Representation of Knowledge Bases Encoded in the Arden Syntax.

Studies in health technology and informatics Aug 21, 2019
CONTEXT: Arden Syntax is a standard that encodes knowledge as Medical Logic Modules (MLMs) but lacks a standard query data model and terminology.
Programming Languages Information Storage and Retrieval Health Information Systems Research Design Knowledge Bases
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An Exploratory Study on Pseudo-Data Generation in Prescription and Adverse Drug Reaction Extraction.

Studies in health technology and informatics Aug 21, 2019
Prescription information and adverse drug reactions (ADR) are two components of detailed medication instructions that can benefit many aspects of clinical research. Automatic extraction of this information from free-text narratives via Information Ex...
Natural Language Processing Semantics Knowledge Bases Drug-Related Side Effects and Adverse Reactions Information Storage and Retrieval Drug Prescriptions
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Enhancing Case Capture, Quality, and Completeness of Primary Melanoma Pathology Records via Natural Language Processing.

JCO clinical cancer informatics Aug 1, 2019
PURPOSE: Medical records contain a wealth of useful, informative data points valuable for clinical research. Most data points are stored in semistructured or unstructured legacy documents and require manual data abstraction into a structured format t...
Information Storage and Retrieval Natural Language Processing Medical Oncology Databases, Factual Humans Electronic Health Records Algorithms Melanoma
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Where to search top-K biomedical ontologies?

Briefings in bioinformatics Jul 19, 2019
MOTIVATION: Searching for precise terms and terminological definitions in the biomedical data space is problematic, as researchers find overlapping, closely related and even equivalent concepts in a single or multiple ontologies. Search engines that ...
Humans Algorithms Search Engine Computational Biology Expert Systems Models, Statistical Information Storage and Retrieval Biological Ontologies
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An Information Extraction Algorithm for Detecting Adverse Events in Neurosurgery Using Documents Written in a Natural Rich-in-Morphology Language.

Studies in health technology and informatics Jul 4, 2019
Rich-in-morphology language, such as Russian, present a challenge for extraction of professional medical information. In this paper, we report on our solution to identify adverse events (complications) in neurosurgery based on natural language proces...
Electronic Health Records Data Mining Russia Humans Natural Language Processing Algorithms Information Storage and Retrieval Neurosurgical Procedures
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