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37 Publications visible to you, out of a total of 37
Metadata Management for Data Integration in Medical Sciences - Experiences from the LIFE Study -
LIFE - Leipzig Research Center for Civilization Diseases

Abstract (Expand)

Clinical and epidemiological studies are commonly used in medical sciences. They typically collect data by using different input forms and information systems. Metadata describing input forms, database … schemas and input systems are used for data integration but are typically distributed over different software tools; each uses portions of metadata, such as for loading (ETL), data presentation and analysis. In this paper, we describe an approach managing metadata centrally and consistently in a dedicated Metadata Repository (MDR). Metadata can be provided to different tools. Moreover, the MDR includes a matching component creating schema mappings as a prerequisite to integrate captured medical data. We describe the approach, the MDR infrastructure and provide algorithms for creating schema mappings. Finally, we show selected evaluation results. The MDR is fully operational and used to integrate data from a multitude of input forms and systems in the epidemiological study LIFE.

Authors: Toralf Kirsten, A. Kiel, M. Rühle, J.Wagner

Date Published: 2nd Mar 2017

Publication Type: Not specified

Monitoring Motor Skills of Children and Adolescents in LIFE Child
LIFE - Leipzig Research Center for Civilization Diseases

Abstract (Expand)

Life Child is an epidemiological study running at the LIFE Research Center for Civilization Diseas-es (University of Leipzig) since 2011. It aims at monitoring the development in children and adolescents … by examining thousands of children in and around Leipzig. Of particular interest in this study are motor skills and physical activities of children between 6 and 18 years. There are multiple examinations including interviews, self-completed questionnaires and physical examinations (e.g., sport tests) to generate data describing the determined child as well her lifestyle and environment. The goal is to find causes for low to non physical activity and unincisive motor skills and capabilities since they are commonly attended with diseases, such as obesity and diabetes. As a first step in this direction, we analyzed data of specific sport tests, such as pushups, side steps and long jumps, according to the body mass index (BMI) of participants. We found that participants with high BMI achieve a similar number of pushups in early years like the normal BMI group, while in later years the pushup number of participants with normal BMI exceeds the pushup number of high BMI group. Surprisingly, the number of side steps is indifferent over age categories (6-18, yearly) between both groups. Conversely, the normal BMI group achieve higher distances through-out all age categories than the high BMI group. In future, we will associate these results with socio-economic and lifestyle indicators, e.g., interest in sport and physical activities of child and parents.

Authors: J. Lang, C. Warnatsch, M. Vogel, Toralf Kirsten, W. Kiess

Date Published: 17th Dec 2014

Publication Type: Not specified

Multi-institutional breast cancer detection using a secure on-boarding service for Distributed Analytics
SMITH - Smart Medical Information Technology for Healthcare

Abstract (Expand)

The constant upward movement of data-driven medicine as a valuable option to enhance daily clinical practice has brought new challenges for data analysts to get access to valuable but sensitive data … due to privacy considerations. One solution for most of these challenges are Distributed Analytics (DA) infrastructures, which are technologies fostering collaborations between healthcare institutions by establishing a privacy-preserving network for data sharing. However, in order to participate in such a network, a lot of technical and administrative prerequisites have to be made, which could pose bottlenecks and new obstacles for non-technical personnel during their deployment. We have identified three major problems in the current state-of-the-art. Namely, the missing compliance with FAIR data principles, the automation of processes, and the installation. In this work, we present a seamless on-boarding workflow based on a DA reference architecture for data sharing institutions to address these problems. The on-boarding service manages all technical configurations and necessities to reduce the deployment time. Our aim is to use well-established and conventional technologies to gain acceptance through enhanced ease of use. We evaluate our development with six institutions across Germany by conducting a DA study with open-source breast cancer data, which represents the second contribution of this work. We find that our on-boarding solution lowers technical barriers and efficiently deploys all necessary components and is, therefore, indeed an enabler for collaborative data sharing.

Authors: Sascha Welten, Lars Hempel, Masoud Abedi, Yongli Mou, Mehrshad Jaberansary, Laurenz Neumann, Sven Weber, Kais Tahar, Yeliz Ucer Yediel, Matthias Löbe, Stefan Decker, Oya Beyan, Toralf Kirsten

Date Published: 1st Apr 2022

Publication Type: Journal article

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