On Computationally-Enhanced Visual Analysis of Heterogeneous Data and Its Application in Biomedical Informatics

Turkay, Çağatay; Jeanquartier, Fleur; Holzinger, Andreas; Hauser, Helwig

doi:10.1007/978-3-662-43968-5_7

Cited by 47 publications

(31 citation statements)

References 106 publications

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“…Turkay et al [16] give a recent introduction to the visualisation of large biomedical heterogeneous data sets and point out the need for mechanisms to improve the interpretability and usability of interactive visual analyses. They also stress the challenge of integrating data from additional sources, such as the "microscopic" world (systems biology), the "omics" world or the "macroscopic" (public health informatics) world, as we move towards precision medicine.…”

Section: State-of-the-artmentioning

confidence: 99%

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Visualisation of Integrated Patient-Centric Data as Pathways: Enhancing Electronic Medical Records in Clinical Practice

Bettencourt‐Silva

Mannu

Iglesia

2016

Lecture Notes in Computer Science

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Abstract. Routinely collected data in hospital Electronic Medical Records (EMR) is rich and abundant but often not linked or analysed for purposes other than direct patient care. We have created a methodology to integrate patient-centric data from different EMR systems into clinical pathways that represent the history of all patient interactions with the hospital during the course of a disease and beyond. In this paper, the literature in the area of data visualisation in healthcare is reviewed and a method for visualising the journeys that patients take through care is discussed. Examples of the hidden knowledge that could be discovered using this approach are explored and the main application areas of visualisation tools are identified. This paper also highlights the challenges of collecting and analysing such data and making the visualisations extensively used in the medical domain. This paper starts by presenting the state-of-the-art in visualisation of clinical and other health related data. Then, it describes an example clinical problem and discusses the visualisation tools and techniques created for the utilisation of these data by clinicians and researchers. Finally, we look at the open problems in this area of research and discuss future challenges.

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Section: State-of-the-artmentioning

confidence: 99%

“…Another important topic is the visualisation of biological and "omics" data [16]. In systems biology, Jeanquartier et al [45] carried out a large survey of databases that enable the visual analysis of protein networks.…”

Section: State-of-the-artmentioning

confidence: 99%

Visualisation of Integrated Patient-Centric Data as Pathways: Enhancing Electronic Medical Records in Clinical Practice

Bettencourt‐Silva

Mannu

Iglesia

2016

Lecture Notes in Computer Science

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“…This has resulted in numerous existing methods and tools which utilize various visualization types and user interaction levels [21] [10]. Recent works have employed visual properties such as color and position [15] [24] or animation [17], in order to visually encode patient information, group patients with similar characteristics together and discriminate between different events.…”

Section: Relevant Workmentioning

confidence: 99%

Discovering the Discriminating Power in Patient Test Features Using Visual Analytics: A Case Study in Parkinson’s Disease

Moschonas¹,

Kalamaras²,

Papadopoulos³

et al. 2016

IFIP Advances in Information and Communication Technology

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Part 11: New Methods and Tools for Big Data Wokshop (MT4BD)International audienceThis paper presents a novel methodology for selecting the most representative features for identifying the presence of the Parkinson’s Disease (PD). The proposed methodology is based on interactive visual analytic based on multi-objective optimisation. The implemented tool processes and visualises the information extracted via performing a typical line-tracking test using a tablet device. Such output information includes several modalities, such as position, velocity, dynamics, etc. Preliminary results depict that the implemented visual analytics technique has a very high potential in discriminating the PD patients from healthy individuals and thus, it can be used for the identification of the best feature type which is representative of the disease presence

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“…Domain-as well as application-specifics need to be taken into account to choose the right visualization tool for supporting search and exploration in general data exploration [4][5][6]. In previous work, approaches for discovery of relevant data in research data repositories based on exploration and visual querying have been proposed.…”

Section: Open Data For Scientific Researchmentioning

confidence: 99%

“…Integration for visual data analysis is possible on different levels. Moving beyond visualization as simple presentation of computation results, several interaction possibilities have to be included seamlessly to foster understanding of the underlying processes [5].…”

Section: Relevancementioning

confidence: 99%

Integrating Open Data on Cancer in Support to Tumor Growth Analysis

Jeanquartier

Jean-Quartier

Schreck

et al. 2016

Information Technology in Bio- And Medical Informatics

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Abstract. The general disease group of malignant neoplasms depicts one of the leading and increasing causes for death. The underlying complexity of cancer demands for abstractions to disclose an exclusive subset of information related to the disease. Our idea is to create a user interface for linking a simulation on cancer modeling to relevant additional publicly and freely available data. We are not only providing a categorized list of open datasets and queryable databases for the different types of cancer and related information, we also identify a certain subset of temporal and spatial data related to tumor growth. Furthermore, we describe the integration possibilities into a simulation tool on tumor growth that incorporates the tumor's kinetics.

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On Computationally-Enhanced Visual Analysis of Heterogeneous Data and Its Application in Biomedical Informatics

Cited by 47 publications

References 106 publications

Visualisation of Integrated Patient-Centric Data as Pathways: Enhancing Electronic Medical Records in Clinical Practice

Visualisation of Integrated Patient-Centric Data as Pathways: Enhancing Electronic Medical Records in Clinical Practice

Discovering the Discriminating Power in Patient Test Features Using Visual Analytics: A Case Study in Parkinson’s Disease

Integrating Open Data on Cancer in Support to Tumor Growth Analysis

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