AIMC Topic: Information Storage and Retrieval

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A fuzzy-ontology-oriented case-based reasoning framework for semantic diabetes diagnosis.

Artificial intelligence in medicine
OBJECTIVE: Case-based reasoning (CBR) is a problem-solving paradigm that uses past knowledge to interpret or solve new problems. It is suitable for experience-based and theory-less problems. Building a semantically intelligent CBR that mimic the expe...

Active learning: a step towards automating medical concept extraction.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: This paper presents an automatic, active learning-based system for the extraction of medical concepts from clinical free-text reports. Specifically, (1) the contribution of active learning in reducing the annotation effort and (2) the robu...

New Results on Passivity Analysis of Stochastic Neural Networks with Time-Varying Delay and Leakage Delay.

Computational intelligence and neuroscience
The passivity problem for a class of stochastic neural networks systems (SNNs) with varying delay and leakage delay has been further studied in this paper. By constructing a more effective Lyapunov functional, employing the free-weighting matrix appr...

Extracting relations from traditional Chinese medicine literature via heterogeneous entity networks.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: Traditional Chinese medicine (TCM) is a unique and complex medical system that has developed over thousands of years. This article studies the problem of automatically extracting meaningful relations of entities from TCM literature, for th...

Combining expert knowledge and knowledge automatically acquired from electronic data sources for continued ontology evaluation and improvement.

Journal of biomedical informatics
INTRODUCTION: A common bottleneck during ontology evaluation is knowledge acquisition from domain experts for gold standard creation. This paper contributes a novel semi-automated method for evaluating the concept coverage and accuracy of biomedical ...

Leveraging anatomical information to improve transfer learning in brain-computer interfaces.

Journal of neural engineering
OBJECTIVE: Brain-computer interfaces (BCIs) represent a technology with the potential to rehabilitate a range of traumatic and degenerative nervous system conditions but require a time-consuming training process to calibrate. An area of BCI research ...

ProCon - PROteomics CONversion tool.

Journal of proteomics
With the growing amount of experimental data produced in proteomics experiments and the requirements/recommendations of journals in the proteomics field to publicly make available data described in papers, a need for long-term storage of proteomics d...

Semi-supervised Learning for the BioNLP Gene Regulation Network.

BMC bioinformatics
BACKGROUND: The BioNLP Gene Regulation Task has attracted a diverse collection of submissions showcasing state-of-the-art systems. However, a principal challenge remains in obtaining a significant amount of recall. We argue that this is an important ...

Extending the evaluation of Genia Event task toward knowledge base construction and comparison to Gene Regulation Ontology task.

BMC bioinformatics
BACKGROUND: The third edition of the BioNLP Shared Task was held with the grand theme "knowledge base construction (KB)". The Genia Event (GE) task was re-designed and implemented in light of this theme. For its final report, the participating system...