AIMC Topic: Information Storage and Retrieval
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Combining Open-domain and Biomedical Knowledge for Topic Recognition in Consumer Health Questions.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Feb 10, 2017
Determining the main topics in consumer health questions is a crucial step in their processing as it allows narrowing the search space to a specific semantic context. In this paper we propose a topic recognition approach based on biomedical and open-...
CMedTEX: A Rule-based Temporal Expression Extraction and Normalization System for Chinese Clinical Notes.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Feb 10, 2017
Time is an important aspect of information and is very useful for information utilization. The goal of this study was to analyze the challenges of temporal expression (TE) extraction and normalization in Chinese clinical notes by assessing the perfor...
A Topic-modeling Based Framework for Drug-drug Interaction Classification from Biomedical Text.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Feb 10, 2017
Classification of drug-drug interaction (DDI) from medical literatures is significant in preventing medication-related errors. Most of the existing machine learning approaches are based on supervised learning methods. However, the dynamic nature of d...
Recognizing Question Entailment for Medical Question Answering.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Feb 10, 2017
With the increasing heterogeneity and specialization of medical texts, automated question answering is becoming more and more challenging. In this context, answering a given medical question by retrieving similar questions that are already answered b...
An efficient incremental learning mechanism for tracking concept drift in spam filtering.
PloS one
Feb 9, 2017
This research manages in-depth analysis on the knowledge about spams and expects to propose an efficient spam filtering method with the ability of adapting to the dynamic environment. We focus on the analysis of email's header and apply decision tree...
Extraction of left ventricular ejection fraction information from various types of clinical reports.
Journal of biomedical informatics
Feb 2, 2017
Efforts to improve the treatment of congestive heart failure, a common and serious medical condition, include the use of quality measures to assess guideline-concordant care. The goal of this study is to identify left ventricular ejection fraction (L...
SAFE: SPARQL Federation over RDF Data Cubes with Access Control.
Journal of biomedical semantics
Feb 1, 2017
BACKGROUND: Several query federation engines have been proposed for accessing public Linked Open Data sources. However, in many domains, resources are sensitive and access to these resources is tightly controlled by stakeholders; consequently, privac...
Development and empirical user-centered evaluation of semantically-based query recommendation for an electronic health record search engine.
Journal of biomedical informatics
Jan 25, 2017
OBJECTIVE: The utility of biomedical information retrieval environments can be severely limited when users lack expertise in constructing effective search queries. To address this issue, we developed a computer-based query recommendation algorithm th...
Natural language processing to extract symptoms of severe mental illness from clinical text: the Clinical Record Interactive Search Comprehensive Data Extraction (CRIS-CODE) project.
BMJ open
Jan 17, 2017
OBJECTIVES: We sought to use natural language processing to develop a suite of language models to capture key symptoms of severe mental illness (SMI) from clinical text, to facilitate the secondary use of mental healthcare data in research.
An Overview of data science uses in bioimage informatics.
Methods (San Diego, Calif.)
Jan 3, 2017
This review aims at providing a practical overview of the use of statistical features and associated data science methods in bioimage informatics. To achieve a quantitative link between images and biological concepts, one typically replaces an object...
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