AIMC Topic: Knowledge Bases
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A study of EMR-based medical knowledge network and its applications.
Computer methods and programs in biomedicine
Feb 23, 2017
BACKGROUND AND OBJECTIVE: Electronic medical records (EMRs) contain an amount of medical knowledge which can be used for clinical decision support. We attempt to integrate this medical knowledge into a complex network, and then implement a diagnosis ...
Improved image quality with simultaneously reduced radiation exposure: Knowledge-based iterative model reconstruction algorithms for coronary CT angiography in a clinical setting.
Journal of cardiovascular computed tomography
Feb 23, 2017
BACKGROUND: The aim of this study was to assess the potential for radiation dose reduction using knowledge-based iterative model reconstruction (K-IMR) algorithms in combination with ultra-low dose body mass index (BMI)-adapted protocols in coronary ...
Radiographic Image Interpretation, Computer-Assisted
Coronary Artery Disease
Knowledge Bases
Body Mass Index
Predictive Value of Tests
Coronary Angiography
Signal-To-Noise Ratio
Multidetector Computed Tomography
Computed Tomography Angiography
Radiation Exposure
Germany
Coronary Vessels
Algorithms
Radiation Dosage
Female
Reproducibility of Results
Aged
Male
Middle Aged
Humans
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-...
Tracing Technological Development Trajectories: A Genetic Knowledge Persistence-Based Main Path Approach.
PloS one
Jan 30, 2017
The aim of this paper is to propose a new method to identify main paths in a technological domain using patent citations. Previous approaches for using main path analysis have greatly improved our understanding of actual technological trajectories bu...
Comprehensible knowledge model creation for cancer treatment decision making.
Computers in biology and medicine
Jan 29, 2017
BACKGROUND: A wealth of clinical data exists in clinical documents in the form of electronic health records (EHRs). This data can be used for developing knowledge-based recommendation systems that can assist clinicians in clinical decision making and...
Photon Optimizer (PO) prevails over Progressive Resolution Optimizer (PRO) for VMAT planning with or without knowledge-based solution.
Journal of applied clinical medical physics
Jan 24, 2017
The enhanced dosimetric performance of knowledge-based volumetric modulated arc therapy (VMAT) planning might be jointly contributed by the patient-specific optimization objectives, as estimated by the RapidPlan model, and by the potentially improved...
Rapid Design of Knowledge-Based Scoring Potentials for Enrichment of Near-Native Geometries in Protein-Protein Docking.
PloS one
Jan 24, 2017
Protein-protein docking protocols aim to predict the structures of protein-protein complexes based on the structure of individual partners. Docking protocols usually include several steps of sampling, clustering, refinement and re-scoring. The scorin...
Knowledge into action - supporting the implementation of evidence into practice in Scotland.
Health information and libraries journal
Jan 1, 2017
BACKGROUND: The knowledge into action model for NHS Scotland provides a framework for librarians and health care staff to support getting evidence into practice. Central to this model is the development of a network of knowledge brokers to facilitate...
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...
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...
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