Data analytics to support the wellbeing of elderly people

Author: Ms Ľudmila Pusztová  STSM Period: 2019-03-21 – 2019-03-31

ECI: No

Hosting institution: University of Hradec Králové. Hradec Králové, Czech Republic

From ITC: No

 

Summary 

Aim and motivation
The barriers for the use of data from electronic health/medical records include a limited scope of collected data, no systematically recording of the data, a lack of compatibility in variables coding and prescribing guidelines, different terminology, meanings and missing relations between other databases. These barriers affect the process of data processing and analysis, such as missing values, a curse of dimensionality, bias control and own limitations of relevant observation study. New ICT should be a patient-oriented allowing the individual access to the data and services. Different stakeholders should be involved in the whole development cycle to ensure the result meets their needs. It is essential to building an active awareness of new solutions or services to increase the number of users and also to help reduce resistance to changes.

My doctoral study focus on models and methods of data analysis for the creation of knowledge models from various data sources. In the end, I will have a mechanism for semi-automatic updating of the knowledge base in the Decision Support System without having to re-generate the entire models. This approach will contribute to the more effective diagnostics processes which will require less computational and human resources.

The main objective of the proposed STSM is the mutual exchange of expertise between Czech and Slovakian researchers focusing on relevant topics to the Sheldon goals.

Outputs
• Review of existing articles, studies, and projects to provide necessary analysis for the initial evaluation of the possible ideas for future collaborations.
• Proposal for semi-automatic updating of the knowledge base in the Decision Support System using case-based reasoning principles. This proposal will improve the adaptability of the generated decision models to new examples without the need for regeneration.

Work plan
The following tasks will be performed in the proposed STSM:
1. Perform appropriate state-of-the-art research in scientific literature and previous or running research projects (1st week)
2. Crease the first draft of a review paper summarizing the outcomes of the state-of-the-art and identifying possible directions for future research (1st week)
3. Perform the analyses of available data sources to create the necessary knowledge base, like Metabolic Syndrome in older adults (2nd week)
4. Investigation of suitable case-based reasoning principles to develop a mechanism for semi-automatic updating of the knowledge base (2nd week)

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