AIMC Topic: Information Storage and Retrieval
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Making Sense of Big Textual Data for Health Care: Findings from the Section on Clinical Natural Language Processing.
Yearbook of medical informatics
Sep 11, 2017
To summarize recent research and present a selection of the best papers published in 2016 in the field of clinical Natural Language Processing (NLP). A survey of the literature was performed by the two section editors of the IMIA Yearbook NLP secti...
Capturing the Patient's Perspective: a Review of Advances in Natural Language Processing of Health-Related Text.
Yearbook of medical informatics
Sep 11, 2017
Natural Language Processing (NLP) methods are increasingly being utilized to mine knowledge from unstructured health-related texts. Recent advances in noisy text processing techniques are enabling researchers and medical domain experts to go beyond ...
Knowledge Representation and Management, It's Time to Integrate!
Yearbook of medical informatics
Sep 11, 2017
To select, present, and summarize the best papers published in 2016 in the field of Knowledge Representation and Management (KRM). A comprehensive and standardized review of the medical informatics literature was performed based on a PubMed query. ...
Combination of Deep Recurrent Neural Networks and Conditional Random Fields for Extracting Adverse Drug Reactions from User Reviews.
Journal of healthcare engineering
Sep 5, 2017
Adverse drug reactions (ADRs) are an essential part of the analysis of drug use, measuring drug use benefits, and making policy decisions. Traditional channels for identifying ADRs are reliable but very slow and only produce a small amount of data. T...
Developing a cardiovascular disease risk factor annotated corpus of Chinese electronic medical records.
BMC medical informatics and decision making
Aug 8, 2017
BACKGROUND: Cardiovascular disease (CVD) has become the leading cause of death in China, and most of the cases can be prevented by controlling risk factors. The goal of this study was to build a corpus of CVD risk factor annotations based on Chinese ...
Active learning reduces annotation time for clinical concept extraction.
International journal of medical informatics
Aug 5, 2017
OBJECTIVE: To investigate: (1) the annotation time savings by various active learning query strategies compared to supervised learning and a random sampling baseline, and (2) the benefits of active learning-assisted pre-annotations in accelerating th...
An ontology-driven tool for structured data acquisition using Web forms.
Journal of biomedical semantics
Aug 1, 2017
BACKGROUND: Structured data acquisition is a common task that is widely performed in biomedicine. However, current solutions for this task are far from providing a means to structure data in such a way that it can be automatically employed in decisio...
Automatic identification of high impact articles in PubMed to support clinical decision making.
Journal of biomedical informatics
Jul 26, 2017
OBJECTIVES: The practice of evidence-based medicine involves integrating the latest best available evidence into patient care decisions. Yet, critical barriers exist for clinicians' retrieval of evidence that is relevant for a particular patient from...
DES-TOMATO: A Knowledge Exploration System Focused On Tomato Species.
Scientific reports
Jul 20, 2017
Tomato is the most economically important horticultural crop used as a model to study plant biology and particularly fruit development. Knowledge obtained from tomato research initiated improvements in tomato and, being transferrable to other such ec...
Unsupervised Extraction of Stable Expression Signatures from Public Compendia with an Ensemble of Neural Networks.
Cell systems
Jul 12, 2017
Cross-experiment comparisons in public data compendia are challenged by unmatched conditions and technical noise. The ADAGE method, which performs unsupervised integration with denoising autoencoder neural networks, can identify biological patterns, ...
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