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Features of Creating Artificial Intelligence Using Informatics and Cybernetics
The article determines peculiarities and specifies application areas of the scientific methods of informatics and cybernetics based on V. M....
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InContext: curation of medical context for drug indications
Accurate and precise information about the therapeutic uses (indications) of a drug is essential for applications in drug repurposing and precision...
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An Automated Cardiac Constitutive Modelling Framework with Evolutionary Strain Energy Functions
Heart disease is the leading cause of mortality worldwide. Many cardiac diseases are associated with altered elastic energy relations of the heart...
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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 Impact of Mechano-Electric Feedback on Drug- and Stretch- Induced Arrhythmia Using a Computational Model of Cardiac Electromechanics
Mechano-electric feedback (MEF) is thought to be an important factor in the increased arrhythmic risk observed clinically in heart failure and...
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Classification of Pathologies on Medical Images Using the Algorithm of Random Forest of Optimal-Complexity Trees
The authors propose an approach to the construction of classifiers in the class of Random Forest algorithms. A genetic algorithm is used to determine...
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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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Natural language processing algorithms for map** clinical text fragments onto ontology concepts: a systematic review and recommendations for future studies
BackgroundFree-text descriptions in electronic health records (EHRs) can be of interest for clinical research and care optimization. However, free...
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Pathling: analytics on FHIR
BackgroundHealth data analytics is an area that is facing rapid change due to the acceleration of digitization of the health sector, and the changing...
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Modeling and targeting an essential metabolic pathway of Plasmodium falciparum in apicoplast using Petri nets
Petri net (PN) is one of the promising computational and mathematical formalisms used to represent and study the behavior of complex metabolic...
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What Data?
Actuaries now collect all kinds of information about policyholders, which can not only be used to refine a premium calculation but also to carry out...
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De-identifying free text of Japanese electronic health records
BackgroundRecently, more electronic data sources are becoming available in the healthcare domain. Electronic health records (EHRs), with their vast...
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Clinical Natural Language Processing in languages other than English: opportunities and challenges
BackgroundNatural language processing applied to clinical text or aimed at a clinical outcome has been thriving in recent years. This paper offers...
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A Numerical Model of Inflammation Dynamics in the Core of Myocardial Infarction
Mathematical simulation is carried out of the dynamics of an acute inflammatory process in the central zone of necrotic myocardial damage. Some...
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Inferring gene-to-phenotype and gene-to-disease relationships at Mouse Genome Informatics: challenges and solutions
BackgroundInferring gene-to-phenotype and gene-to-human disease model relationships from annotated mouse phenotypes and disease associations is...
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Development of a cardiac-centered frailty ontology
BackgroundA Cardiac-centered Frailty Ontology can be an important foundation for using NLP to assess patient frailty. Frailty is an important...
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A novel ontology and machine learning driven hybrid cardiovascular clinical prognosis as a complex adaptive clinical system
PurposeThis multidisciplinary industrial research project sets out to develop a hybrid clinical decision support mechanism (inspired by ontology and...
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Intelligent Analysis of Quasiperiodic Bioosignals in Medical Diagnostic Problems (with the Example of a Pulse Signal)
We identify the main stages of intelligent analysis of the pulse signal of the radial artery, used to obtain a set of informative parameters in...
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Ontology-based literature mining and class effect analysis of adverse drug reactions associated with neuropathy-inducing drugs
BackgroundAdverse drug reactions (ADRs), also called as drug adverse events (AEs), are reported in the FDA drug labels; however, it is a big...
