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PhenoDEF: a corpus for annotating sentences with information of phenotype definitions in biomedical literature
BackgroundAdverse events induced by drug-drug interactions are a major concern in the United States. Current research is moving toward using...
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Sliced Average Variance Estimation for Tensor Data
Tensor data have been widely used in many fields, e.g., modern biomedical imaging, chemometrics, and economics, but often suffer from some common...
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InterCriteria Analysis Approach as a Tool for Promising Decision Making in Physiological Rhythms
Recently developed InterCriteria Analysis (ICrA) approach has being intensively gained popularity as quite promising approach to support decision...
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Multiple sampling schemes and deep learning improve active learning performance in drug-drug interaction information retrieval analysis from the literature
BackgroundDrug-drug interaction (DDI) information retrieval (IR) is an important natural language process (NLP) task from the PubMed literature. For...
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An Individual Work Plan to Influence Educational Learning Paths in Engineering Undergraduate Students
Issues related to the failure of mathematics in engineering education and the negative impact of these difficulties on the success of the...
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Biomolecular Topology: Modelling and Analysis
With the great advancement of experimental tools, a tremendous amount of biomolecular data has been generated and accumulated in various databases....
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Assessing resolvability, parsability, and consistency of RDF resources: a use case in rare diseases
IntroductionHealthcare data and the knowledge gleaned from it play a key role in improving the health of current and future patients. These knowledge...
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Structuring, reuse and analysis of electronic dental data using the Oral Health and Disease Ontology
BackgroundA key challenge for improving the quality of health care is to be able to use a common framework to work with patient information acquired...
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Towards the Named Entity Recognition Methods in Biomedical Field
Natural Language Processing (NLP) is very important in modern data processing taking into consideration different sources, forms and purpose of data...
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Augmentation of Cardiac Ischemic Geometry for Improving Machine Learning Performance in Arrhythmic Risk Stratification
Ventricular arrhythmias frequently occur as a complication of myocardial infarction (MI), due to significant changes in the heart’s structure and...
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The Blue Book Smart sustainable coastal cities and blue growth strategies for marine and maritime environments
This volume offers a wealth of results written by experts from interdisciplinary fields, contributing on a diversity of topics targeting marine and...
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A Study on Opinion of B.Sc. Nursing Students on Health Informatics and EMR as Part of Nursing Education
In India nursing educational institutions run under the umbrella of Indian Nursing council, which prescribes the curriculum and other norms for...
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An Ensemble Tree Classifier for Highly Imbalanced Data Classification
The performance of traditional imbalanced classification algorithms is degraded when dealing with highly imbalanced data. How to deal with highly...
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Improving the classification of cardinality phenotypes using collections
MotivationPhenotypes are observable characteristics of an organism and they can be highly variable. Information about phenotypes is collected in a...
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An integrated data-driven computational pipeline with model order reduction for industrial and applied mathematics
In this work we present an integrated computational pipeline involving several model order reduction techniques for industrial and applied...
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SemClinBr - a multi-institutional and multi-specialty semantically annotated corpus for Portuguese clinical NLP tasks
BackgroundThe high volume of research focusing on extracting patient information from electronic health records (EHRs) has led to an increase in the...
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Understanding the Level of Mathematics Knowledge of Students Who Joined ISEC
The low pass rate in the curricular units of Differential and Integral Calculus, taught throughout the first semester of the first year of...
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An Improved Algorithm for Scattered Data Interpolation Using Quartic Triangular Bézier Surfaces
We revisit the problem of interpolation of scattered data in...
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NIAID/SMB Workshop on Multiscale Modeling of Infectious and Immune-Mediated Diseases
On July 19th, 2023, the National Institute of Allergy and Infectious Diseases co-organized a workshop with the Society of Mathematical Biology, with...
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A Three-Stage 2D–3D Convolutional Network Ensemble for Segmenting Malignant Brain Tumors on MRI Images
In this paper, the problem of brain tumor binary semantic segmentation based on MRI images is solved. The pixel-by-pixel determination of the anomaly...