AIMC Topic:
Semantics

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More About Fractals of Speech: Incompleteness, Wobbling Consistency and Limits to Understanding.

Nonlinear dynamics, psychology, and life sciences
This article presents the geometrical-fractal text-tree model of speech and writing, the development of which is part of a project with the long-term goal to answer the question whether Artificial Intelligence and the corresponding human intelligence...

Can Unified Medical Language System-based semantic representation improve automated identification of patient safety incident reports by type and severity?

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: The study sought to evaluate the feasibility of using Unified Medical Language System (UMLS) semantic features for automated identification of reports about patient safety incidents by type and severity.

UENet: A Novel Generative Adversarial Network for Angiography Image Segmentation.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Convolutional neural networks (CNNs) have been widely used in medical image segmentation. Vessel segmentation in coronary angiography remains a challenging task. It is a great challenge to extract fine features of coronary artery for segmentation due...

Computational framework for fusing eye movements and spoken narratives for image annotation.

Journal of vision
Despite many recent advances in the field of computer vision, there remains a disconnect between how computers process images and how humans understand them. To begin to bridge this gap, we propose a framework that integrates human-elicited gaze and ...

Similar Disease Prediction With Heterogeneous Disease Information Networks.

IEEE transactions on nanobioscience
Studying the similarity of diseases can help us to explore the pathological characteristics of complex diseases, and help provide reliable reference information for inferring the relationship between new diseases and known diseases, so as to develop ...

Parallel Sentence Alignment from Biomedical Comparable Corpora.

Studies in health technology and informatics
Parallel sentences provide semantically similar information which can vary on a given dimension, such as language or register. Parallel sentences with register variation (like expert and non-expert documents) can be exploited for the automatic text s...

Character-Level Neural Language Modelling in the Clinical Domain.

Studies in health technology and informatics
Word embeddings have become the predominant representation scheme on a token-level for various clinical natural language processing (NLP) tasks. More recently, character-level neural language models, exploiting recurrent neural networks, have again r...

A Semantic Similarity Evaluation for Healthcare Ontologies Matching to HL7 FHIR Resources.

Studies in health technology and informatics
Healthcare 4.0 demands healthcare data to be shaped into a common standardized and interoperable format for achieving more efficient data exchange. Most of the techniques addressing this domain are dealing only with specific cases of data transformat...

Automated Cardiovascular Pathology Assessment Using Semantic Segmentation and Ensemble Learning.

Journal of digital imaging
Cardiac magnetic resonance imaging provides high spatial resolution, enabling improved extraction of important functional and morphological features for cardiovascular disease staging. Segmentation of ventricular cavities and myocardium in cardiac ci...

EARSHOT: A Minimal Neural Network Model of Incremental Human Speech Recognition.

Cognitive science
Despite the lack of invariance problem (the many-to-many mapping between acoustics and percepts), human listeners experience phonetic constancy and typically perceive what a speaker intends. Most models of human speech recognition (HSR) have side-ste...