Harvesting metadata in clinical care: a crosswalk between FHIR, OMOP, CDISC and openEHR metadata
Metadata describe information about data source, type of creation, structure, status and semantics and are prerequisite for preservation and reuse of medical data.
Caroline Bönisch +2 more
doaj +1 more source
A Practical Type Analysis for Verification of Modular Prolog Programs [PDF]
Regular types are a powerful tool for computing very precise descriptive types for logic programs. However, in the context of real life, modular Prolog programs, the accurate results obtained by regular types often come at the price of efficiency.
Pietrzak, Pawel +10 more
core +1 more source
Brain Cell Type Specific Gene Expression and Co-expression Network Architectures
Elucidating brain cell type specific gene expression patterns is critical towards a better understanding of how cell-cell communications may influence brain functions and dysfunctions.
Andrew T. McKenzie +10 more
doaj +1 more source
Replication Data for: Demo Abstract: Real-Time Out-of-Distribution Detection on a Mobile Robot
Replication Data for "Demo Abstract: Real-Time Out-of-Distribution Detection on a Mobile Robot" This data set contains a series of scenes (sequential images) gathered by a DB21M Duckiebot navigating a straight track inside the HESL (Hardware and ...
Yuhas, Michael John
core +1 more source
Control of autonomous robot behavior using data filtering through adaptive resonance theory
The aim of the article is to use neural networks to control autonomous robot behavior. The type of the controlling neural network was chosen a backpropagation neural network with a sigmoidal transfer function.
Adam Barton, Eva Volna, Martin Kotyrba
doaj +1 more source
Issues of Type 2 Diabetes Disease Effective Treatment in Kazakhstan [PDF]
In his address to the people, the First President of our country, emphasized the need to introduce innovative methods of treating socially significant diseases. Among these diseases, diabetes holds a special position.
Tazhiyeva Aigul +7 more
core +1 more source
Diabetes prediction model based on an enhanced deep neural network
Today, diabetes is one of the most common, chronic, and, due to some complications, deadliest diseases in the world. The early detection of diabetes is very important for its timely treatment since it can stop the progression of the disease. The proposed
Huaping Zhou +2 more
doaj +1 more source
Background To develop and validate a conventional MRI-based radiomic model for predicting prognosis in patients with IDH wild-type glioblastoma (GBM) and reveal the biological underpinning of the radiomic phenotypes. Methods A total of 801 adult patients
Fangzhan Guan +14 more
doaj +1 more source
Dynamic abstract data types based on algebraic graph transformations
S.236-254The concept of dynamic abstract data types was recently proposed by two of the authors as a dynamic extension of the well-known concept of abstract data types, motivated by several recent approaches in the area of algebraic specifications ...
Löwe, M., Ehrig, H., Orejas, F.
core +1 more source
Screening marker genes of type 2 diabetes mellitus in mouse lacrimal gland by LASSO regression
Type 2 diabetes mellitus (T2DM) is characterized by insulin resistance and a relative deficiency of insulin. This study aims to screen T2DM-related maker genes in the mouse extraorbital lacrimal gland (ELG) by LASSO regression.C57BLKS/J strain with ...
Xiaoting Pei +7 more
doaj +1 more source

