STAF 2023
Tue 18 - Fri 21 July 2023 Leicester, United Kingdom
Fri 21 Jul 2023 14:37 - 15:00 at Willow - HEDA Session 2 Chair(s): Yngve Lamo

Café Variome is a flexible, web-based, data-discovery tool that offers a query language for checking the existence of biomedical data held in a federation of heterogenous data sources of rare diseases. Currently, there is a growing need for user-friendly graphical interfaces that are web-based to assist bioinformatics researchers look for cohorts of patients, across widely heterogenous data sources. Moreover, data owners who are usually clinicians, hospitals, or local trusts, lack the technical programming skills to create an interface that can help their data be queried and hence discovered.

In this work, we present the design of VForms, a platform for automatically inferring smart user interfaces (UIs) from heterogeneous datasets about rare diseases. This platform consists of a domain- specific modeling language (DSL) for specifying UIs for genomic datasets. A VForm is realized as a ReactJS web form that allows rare disease medical researchers define optimized queries over rare disease datasets. Hence each VForm is a domain-specific form-based query language. VForms infers the conceptual model from a given dataset, from which a domain-specific query UI in ReactJS is automatically generated using model-to-model transformations in YAMTL. The generation process is parameterized so that medical researchers can customize the generation of UIs.

The goal of this work is to demonstrate the potential of using model-driven engineering (MDE) to improve the development of UIs for genomic datasets of patients with rare diseases. By using VForms, data owners who lack the technical programming skills to create a UI that can help their data be queried and discovered, will be able to do so with minimal effort and in a more user-friendly way. Additionally, VForms allows for quick adaptation of the implementation of query interfaces to new user requirements.

Fri 21 Jul

Displayed time zone: London change

13:30 - 15:00
HEDA Session 2HEDA at Willow
Chair(s): Yngve Lamo Western Norway University of Applied Sciences

Remote Participants: Zoom Link

13:30
22m
Talk
Clinical data modeling combining agent-based and epidemiological models
HEDA
P: Denisse Kim University of Murcia, Manuel Campos , Bernardo Canovas-Segura University of Murcia, Jose M. Juarez University of Murcia
Link to publication
13:52
22m
Talk
Towards a Framework for Visualization and Analysis of Eye Tracking Data for Functional Vision Screening
HEDA
P: qasim ali , Carsten G. Helgesen Western Norway University of Applied Sciences, Ilona Heldal Western Norway University of Applied Sciences
Link to publication
14:15
22m
Talk
Analyzing Eye Tracking Data using Symbolic Aggregate Approximation
HEDA
P: Carsten G. Helgesen Western Norway University of Applied Sciences, Atle Geitung Western Norway University of Applied Sciences, Ilona Heldal Western Norway University of Applied Sciences
Link to publication
14:37
22m
Talk
Automatic Inference of Smart Data Discovery Interfaces for Rare Disease Datasets
HEDA
P: Artur Boronat University of Leicester, Adekunle Adeyemo , Mehdi Mehtarizadeh King’s College London, Steffen Zschaler King's College London
Link to publication