Information
- Publication Type: Conference Paper
- Workgroup(s)/Project(s):
- Date: February 2012
- Location: Rome, Italy
- Lecturer: Kresimir Matkovic
- Event: IVAPP 2012
- Booktitle: Proceeding of IVAAP 2012
- Journal: Proceedings of IVAPP 2012 / SciTePress
- Conference date: 24. February 2012
– 26. February 2012
- Pages: 648 – 659
- Keywords: Coordinated Multiple Views, Intensive Care Unit Data, Interactive Visual Analysis
Abstract
In this paper we present a case study of interactive visual analysis and exploration of a large ICU data set. The
data consists of patients’ records containing scalar data representing various patients’ parameters (e.g. gender,
age, weight), and time series data describing logged parameters over time (e.g. heart rate, blood pressure).
Due to the size and complexity of the data, coupled with limited time and resources, such ICU data is often not
utilized to its full potential, although its analysis could contribute to a better understanding of physiological,
pathological and therapeutic processes, and consequently lead to an improvement of medical care. During the
exploration of this data we identified several analysis tasks and adapted and improved a coordinated multiple
views system accordingly. Besides a curve view which also supports time series with gaps, we introduced a
summary view which allows an easy comparison of subsets of the data and a box plot view in a coordinated
multiple views setup. Furthermore, we introduced an inverse brush, a secondary brush which automatically
selects non-brushed items, and updates itself accordingly when the original brush is modified. The case
study describes how we used the system to analyze data from 1447 patients from the ICU at Guy’s & St.
Thomas’ NHS Foundation Trust in London. We were interested in the relationship between serum sodium
concentration, its rate of change and their effect on ICU mortality rates. The interactive visual analysis led us
to findings which were fascinating for medical experts, and which would be very difficult to discover using
conventional analysis methods usually applied in the medical field. The overall feedback from domain experts
(coauthors of the paper) is very positive.
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BibTeX
@inproceedings{Purgathofer_2012_IVA,
title = "INTERACTIVE VISUAL ANALYSIS OF INTENSIVE CARE UNIT DATA:
Relationship Between Serum Sodium Concentration, its Rate of
Change, and Survival Outcome",
author = "Kresimir Matkovic and H. Gan and Andreas Ammer and D.
Bennett and Werner Purgathofer and Marius Terblanche",
year = "2012",
abstract = "In this paper we present a case study of interactive visual
analysis and exploration of a large ICU data set. The data
consists of patients’ records containing scalar data
representing various patients’ parameters (e.g. gender,
age, weight), and time series data describing logged
parameters over time (e.g. heart rate, blood pressure). Due
to the size and complexity of the data, coupled with limited
time and resources, such ICU data is often not utilized to
its full potential, although its analysis could contribute
to a better understanding of physiological, pathological and
therapeutic processes, and consequently lead to an
improvement of medical care. During the exploration of this
data we identified several analysis tasks and adapted and
improved a coordinated multiple views system accordingly.
Besides a curve view which also supports time series with
gaps, we introduced a summary view which allows an easy
comparison of subsets of the data and a box plot view in a
coordinated multiple views setup. Furthermore, we introduced
an inverse brush, a secondary brush which automatically
selects non-brushed items, and updates itself accordingly
when the original brush is modified. The case study
describes how we used the system to analyze data from 1447
patients from the ICU at Guy’s & St. Thomas’ NHS
Foundation Trust in London. We were interested in the
relationship between serum sodium concentration, its rate of
change and their effect on ICU mortality rates. The
interactive visual analysis led us to findings which were
fascinating for medical experts, and which would be very
difficult to discover using conventional analysis methods
usually applied in the medical field. The overall feedback
from domain experts (coauthors of the paper) is very
positive.",
month = feb,
location = "Rome, Italy",
event = "IVAPP 2012",
booktitle = "Proceeding of IVAAP 2012",
journal = "Proceedings of IVAPP 2012 / SciTePress",
pages = "648--659",
keywords = "Coordinated Multiple Views, Intensive Care Unit Data,
Interactive Visual Analysis",
URL = "https://www.cg.tuwien.ac.at/research/publications/2012/Purgathofer_2012_IVA/",
}